WO2018188297A1 - Identification method and device for three-dimensionally displayed picture - Google Patents

Abstract

An identification method and device for a three-dimensionally displayed picture, the method comprising: extracting a first view picture and a second view picture of a target picture (101); acquiring a difference degree parameter between the first view picture and the second view picture, the difference degree parameter being used to indicate a degree of difference between the first view picture and the second view picture (102); and when the difference degree parameter is within a preset range value, identifying the target picture as a picture for three-dimensional display (103).

Description

Recognition method and device for three-dimensional display picture Technical field

The present disclosure relates to the field of image technologies, and in particular, to a method and an apparatus for identifying a three-dimensional display picture.

Background technique

With the development of science and technology, the three-dimensional picture display technology needs to wear 3D glasses to develop without the need to wear 3D glasses, that is, to develop the naked eye 3D picture display technology, because the naked eye 3D picture display technology enables people to get rid of the restraint of 3D glasses, and possession Great advantage.

In the related art, more and more display devices have both a two-dimensional picture display mode and a three-dimensional picture display mode. Then, before displaying the picture, the display device needs to select a corresponding display mode according to the type of the picture to be displayed, such as a two-dimensional picture, a three-dimensional picture, and the like. At present, the display device manually marks the image to be displayed in three dimensions before displaying the image, and then uses the three-dimensional display for the marked image when displaying, and the ordinary two-dimensional for the unmarked image. display. Moreover, the identification mark for displaying the picture in three dimensions is only saved in the database, and the picture itself does not have corresponding attributes. If the picture is moved out of the device and then moved in again, the previously captured 3D picture mark will disappear, and the display device needs to manually re-mark or name the picture to be displayed in three dimensions before displaying the picture. Therefore, the current electronic device with three-dimensional display is cumbersome to operate when processing a three-dimensional display picture.

Summary of the invention

In view of this, embodiments of the present disclosure are expected to provide a method and apparatus for three-dimensionally displaying pictures, which can automatically recognize pictures for three-dimensional display and improve operation convenience.

To achieve the above object, the technical solution of the present disclosure is implemented as follows:

An embodiment of the present disclosure provides a method for identifying a three-dimensional display picture, the method comprising:

Extracting a first view and a second view of the target image;

Obtaining a difference degree parameter of the first view image and the second view image, where the difference degree parameter is set to indicate a degree of difference between the first view image and the second view image;

When the difference degree parameter is within the preset range value, the target picture is identified as a picture for three-dimensional display.

Optionally, the method further includes:

When the difference degree parameter is not within the preset range value, the target picture is identified as a picture that is not used for three-dimensional display.

Optionally, the acquiring the difference degree parameter of the first view and the second view includes:

Obtaining, according to the preset N deviation values, a pixel difference sum of the first view and the second view, and N is an integer greater than or equal to 1;

Obtaining a minimum value of each of the pixel difference sums to obtain a minimum pixel difference sum;

The minimum pixel difference sum is determined as the difference degree parameter.

Optionally, the obtaining, for each of the offset values, the pixel difference sum of the first view and the second view, including:

Obtaining a first graphic parameter value of each pixel of the first view image;

Obtaining a second graphic parameter value of each pixel of the second perspective view;

And calculating the pixel difference sum according to the preset operation based on the deviation value, the first graphic parameter value, and the second graphic parameter value.

Optionally, the calculating the pixel difference sum according to the preset operation based on the deviation value, the first graphic parameter value, and the second graphic parameter value includes:

The i-th pixel in the first view and the j-th pixel in the second view are grouped into pixel pairs, wherein i, j have a value range of the first view and the second The range of pixel coordinate values of the view image, the abscissa of the i-th pixel and the abscissa of the j-th pixel are different by d deviation values, the ordinate is the same, and the value of d is within the preset deviation interval;

Calculating, for each pixel pair, a square of a difference between a first graphics parameter value of the i-th pixel and a second image parameter value of the j-th pixel;

The sum of the squares of the differences is obtained to obtain the sum of the pixel differences.

An embodiment of the present disclosure further provides an identification device for displaying a picture in three dimensions, the device comprising:

An extraction module, configured to extract a first view and a second view of the target image;

An acquiring module, configured to acquire a difference degree parameter of the first view and the second view, where the difference degree parameter is used to indicate a difference degree between the first view and the second view;

The first identifier module is configured to: when the difference degree parameter is within the preset range value, identify the target picture as a picture for three-dimensional display.

Optionally, the device further includes:

The second identifier module is configured to: when the difference degree parameter is not within the preset range value, identify the target picture as a picture that is not used for three-dimensional display.

Optionally, the obtaining module includes:

a first obtaining submodule, configured to acquire, according to the preset N deviation values, a pixel difference sum of the first view and the second view for each deviation value, where N is an integer greater than or equal to ;

a second obtaining submodule, configured to obtain a minimum value of each of the pixel difference sums to obtain a minimum pixel difference sum;

Determining a sub-module, set to determine the minimum pixel difference sum as the difference degree parameter.

Optionally, the first obtaining submodule includes:

a first acquiring unit, configured to acquire a first graphic parameter value of each pixel of the first view image;

a second acquiring unit, configured to acquire a second graphic parameter value of each pixel of the second perspective view;

The calculating unit is configured to calculate the pixel difference sum according to the preset operation based on the deviation value, the first graphic parameter value, and the second graphic parameter value.

Optionally, the calculating unit includes:

Forming a sub-unit, configured to form a pixel pair of the i-th pixel in the first view and the j-th pixel in the second view, wherein values of i and j are respectively the first view And the pixel coordinate value range of the second perspective view, the abscissa of the i-th pixel and the abscissa of the j-th pixel are different by d deviation values, the ordinate is the same, and the value of d is within a preset deviation interval;

Calculating a subunit, configured to calculate, for each pixel pair, a square of a difference between a first graphic parameter value of the ith pixel and a second image parameter value of the jth pixel;

Summing the subunits, set to sum the squares of the differences, to obtain the sum of the pixel differences.

Embodiments of the present disclosure also provide a storage medium configured to store program code for performing the method of any of the above.

The method and device for recognizing a three-dimensionally displayed picture provided by the embodiment of the present disclosure, by acquiring a first view and a second view of the target picture, and when the difference between the first view and the second view is within a preset range When the value is within, the target image is a picture for three-dimensional display, and the image for three-dimensional display can be automatically recognized, thereby solving the problem that the operation is inconvenient due to the inability to automatically recognize the image for three-dimensional display, and the improvement is achieved. The effect of ease of operation.

DRAWINGS

1 is a schematic diagram of a method for identifying a three-dimensional display picture according to Embodiment 1 of the present disclosure;

2A is a schematic diagram of a method for identifying a three-dimensional display picture according to Embodiment 2 of the present disclosure;

2B is a schematic diagram of a pixel difference method and method according to Embodiment 2 of the present disclosure;

FIG. 2C is a schematic diagram of a pixel difference method and method according to Embodiment 2 of the present disclosure; FIG.

3A is a schematic structural diagram of an apparatus for identifying a three-dimensional display picture according to Embodiment 3 of the present disclosure;

FIG. 3B is a schematic structural diagram of another apparatus for identifying a three-dimensionally displayed picture according to Embodiment 3 of the present disclosure; FIG.

3C is a schematic structural diagram of an apparatus for acquiring a difference degree parameter according to Embodiment 3 of the present disclosure;

3D is a schematic structural diagram of acquiring a pixel difference value and device according to Embodiment 3 of the present disclosure;

FIG. 3 is a schematic structural diagram of calculating a pixel difference value and apparatus according to Embodiment 3 of the present disclosure.

detailed description

The technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure.

In the following description, the suffixes such as "module", "component" or "unit" used to denote an element are merely illustrative for the benefit of the present disclosure, and do not have a specific meaning per se. Therefore, "module" and "component" can be used in combination.

The terminal can be implemented in various forms. For example, the terminals described in the present disclosure may include, for example, mobile phones, smart phones, notebook computers, digital broadcast receivers, personal digital assistants (PDAs), tablet computers (PADs), portable multimedia players (PMPs), navigation devices, and the like. Mobile terminals and devices such as digital TVs, desktop computers, etc. Fixed terminal. In the following, it is assumed that the terminal is a mobile terminal. However, those skilled in the art will appreciate that configurations in accordance with embodiments of the present disclosure can be applied to fixed type terminals in addition to elements that are specifically for mobile purposes.

Embodiment 1

This embodiment provides a method for identifying a three-dimensional display picture. Referring to FIG. 1, the method includes:

Step 101: Extract a first view and a second view of the target picture.

The target picture may be a picture for two-dimensional display, a picture for three-dimensional display, or a picture for other dimensional display.

In an embodiment, for a picture for three-dimensional display, the first view and the second view are a left eye view and a right eye view. The left eye view and the right eye view are two views of the same scene, viewed from two different perspectives, the left eye and the right eye. In one embodiment, the left eye view is a view seen by the left eye in the three-dimensional display effect, and the right eye view is a view seen by the right eye in the three-dimensional display effect. The left eye view and the right eye view can be laid out in the same picture or in multiple pictures. In an embodiment, when the left-eye view and the right-eye view are laid out in the same target picture, the left-eye view and the right-eye view may be arranged in a left-right view or a top-and-side view format for three-dimensional display. In the picture. Of course, it can also be arranged in the same picture according to other formats, and the embodiment of the present disclosure does not limit this. Further, when the left-eye view and the right-eye view are laid out in a plurality of pictures, the left-eye view and the right-eye view may be laid out in two pictures. For a picture for two-dimensional display or a picture for other dimensional display, the first view and the second view are only two pictures extracted according to the extraction method, and there is no relationship in the picture for three-dimensional display. .

In the embodiment of the present disclosure, when the left-eye view and the right-eye view are arranged in the same picture in the left-right view format or the top-view view format, the first view and the second view of the target image may be extracted by the following method. Obtaining the content of the left half of the target image to obtain a first view; obtaining the content of the right half of the target image, and obtaining a second view, where the first view and the second view are the first set of view. In addition, the content of the upper part of the target image is obtained to obtain a first perspective view; the content of the lower half of the target image is obtained, and a second perspective view is obtained, where the first perspective view and the second perspective view are the second set of perspective views. .

In an embodiment, the content of each half of the target image may be obtained by copying the target image to obtain two identical target images, which are recorded as the first target image and the second target image; and cropping the first target image to the left and right. The content of the left and right parts of the target picture is obtained; the second target picture is cropped up and down to obtain the content of the upper and lower parts of the target picture.

In an embodiment, the left and right cropping may be left and right symmetric cutting, and the upper and lower cropping may be vertically symmetric cutting.

In addition, the relevant software technology can be used to directly obtain the content of each half of the target image from the target image, which will not be described in detail herein.

In addition, it should be noted that when the left-eye view and the right-eye view are laid out in the same picture according to other view formats, the first view and the first view may be extracted not strictly according to the content of each half of the target picture. The second view is obtained, and the first view and the second view are acquired according to their corresponding view formats.

In addition, when the left eye view and the right eye view are laid out in multiple different pictures, you can directly from multiple pictures. The first perspective view and the second view are extracted in the embodiment of the present disclosure, and the method for extracting the first view and the second view is not limited.

Of course, in addition to the above methods, the first view and the second view may be extracted by other methods, which is not limited in this embodiment.

In addition, it should be noted that, in the picture for three-dimensional display, the left-eye view and the right-eye view are arranged in a picture for three-dimensional display in a left-right view format or a top-bottom view format. However, before the first view and the second view are extracted, it is not determined whether the target picture is a picture for three-dimensional display or a picture for two-dimensional display, and of course, it cannot be determined as a left-right view format or a top-and-side view format. Therefore, when extracting the target image, it is necessary to perform left and right extraction, and it is necessary to perform upper and lower extraction.

In addition, the method for extracting the first view and the second view of the target image can be used to extract a target image into two sets of perspective views. Therefore, the two sets of perspectives need to perform subsequent steps 102 to 104.

In the embodiment of the present disclosure, in order to reduce the operation steps and improve the operation efficiency, the target picture may be roughly judged, and only a set of the first view and the second view are extracted after the rough judgment, only the first view of the set is obtained. Steps 102 through 104 are performed with the second perspective view.

In an embodiment, only one set of the first view and the second view may be extracted by: performing preliminary analysis on the target image before extracting the target image, and roughly determining whether the target image has left or right or similar Situation; when the left and right are similar, the target image is determined to be the left and right view format, and the target image is extracted left and right to obtain a set of first perspective view and second perspective view; when the top and bottom are similar, the target image is determined to be the top and bottom view format, and the target is The picture is extracted up and down, and only a set of first view and second view are obtained.

In addition, it should be noted that the target image may be a red, green, and blue color mode picture, that is, an RGB (Red Green Blue) picture, or may be a hue, saturation, and brightness color mode picture, that is, an HSI (Hue Saturation Intensity) picture, of course. It is also possible to have other color mode pictures. Since different color modes correspond to different picture features, different rough determination methods can be determined according to the color mode of the target picture.

In an embodiment, when the target picture is an RGB picture, the target picture may be roughly determined by acquiring a gray value of each pixel of the target picture in a red channel, and obtaining a red gray value matrix; acquiring each pixel of the target picture. In the gray value of the green channel, a green gray value matrix is obtained; the gray value of each pixel of the target image in the blue channel is obtained, and a blue gray value matrix is obtained; respectively, the red gray value matrix and the green gray value matrix are respectively obtained. And the blue gray value matrix is compared up and down and left and right. When the values in the gray value matrix have upper and lower or left and right symmetry relationship, it is determined that the target image has similar left and right or top and bottom. The symmetry relationship described above is that the gray values are numerically close.

When the target picture is an HSI picture, the target picture may be roughly determined using a method similar to that when the target picture is an RGB picture, and will not be described in detail herein.

In an embodiment, when only one set of the first view and the second view is extracted, and after performing step 102 to step 104 on the set of the first view and the second view, the target picture is not used. When the image is displayed in three dimensions, another set of the first view and the second view of the target image may be re-extracted, and steps 102 to 104 are performed again to identify whether the target image is used for three-dimensional display to improve the recognition of the target image. Accuracy.

In addition, the three-dimensional display picture in the embodiment of the present disclosure may be used for the naked eye three-dimensional display picture.

Step 102: Acquire a difference degree parameter of the first view and the second view.

The difference degree parameter is used to indicate the degree of difference between the first view image and the second view. Illustratively, the degree of difference parameter may indicate whether there is a difference between the first view and the second view, and when there is a difference, the size of the difference.

In an embodiment, the degree of difference parameter may be expressed using a degree of difference in pixels of the first view and the second view in terms of graphical features such as gray value, hue, brightness, or saturation.

Exemplarily, when the target picture is an RGB picture, the degree of difference is the degree of difference between the gray values of the respective pixels of the first view and the second view.

In an embodiment, the degree of difference parameter may be a number, and the magnitude of the numerical value represents the magnitude of the difference. For example, when the range of the difference degree parameter is [0-3000], 0 can be used to indicate that there is no difference between the first view and the second view, and for the remaining numbers, the difference increases with the increase of the value.

In an embodiment, the difference degree parameter may be a value obtained according to a preset operation. For example, the difference degree parameter may be a minimum pixel difference sum of the first view image and the second view image calculated according to the preset operation.

In an embodiment, the difference parameter can be obtained by acquiring the graphic parameter values of the first view and the second view, and substituting the parameter values into the preset operation. Wherein, the graphical parameter value is a parameter used to characterize the graphical features of the first perspective view and the second perspective view. In an embodiment, the graphical parameter values may be determined based on a color mode of the target picture. Exemplarily, when the target picture is an RGB picture, the graphic parameter value may be a gray value of each color channel; when the target picture is HIS, the graphic parameter value may be hue, saturation, brightness, and the like. Of course, the degree of difference parameter may also be other parameters that can reflect the degree of difference between the first view and the second view.

Step 103: When the difference degree parameter is within the preset range value, identify the target picture as a picture for three-dimensional display.

First, the picture for three-dimensional display and the picture for two-dimensional display have the following characteristics in terms of difference:

For a picture for three-dimensional display: If the target picture is a picture for three-dimensional display, one of the first view and the second view is a left-eye view and the other is a right-eye view. Since the left-eye view and the right-eye view are the same scene, the view is seen from two different perspectives of the left eye and the right eye. Therefore, in the picture for three-dimensional display, there is a difference between the first view and the second view, and the difference is within a certain range.

For pictures used for two-dimensional display: In general, a picture for two-dimensional display is used to represent a complete single picture, and there is no left-eye view and right-eye view of one scene. In the case of a picture for two-dimensional display. Therefore, for a picture for two-dimensional display, the difference between the first view and the second view is larger, and the difference is greater than the difference between the first view and the second view in the picture for three-dimensional display. In addition, for some special pictures for two-dimensional display, such as a monochrome picture, a completely symmetrical picture on the left or right, or a completely symmetrical picture on the top and bottom, there is no difference between the first view and the second view.

Since the picture for three-dimensional display and the picture for two-dimensional display have the above-mentioned features in a degree of difference, the pre-determination degree parameter selected for the three-dimensional display may be set according to the difference degree parameter selected by the difference degree feature. Set the range value.

It should be noted that for each difference degree parameter, the preset range value can be obtained through a large number of experiments to ensure the accuracy of the difference degree parameter.

Exemplarily, the value range of the difference degree parameter is [0-3000] as an example, and the preset range value is set to (0-1000). When the obtained difference degree parameter value is in the range of (0-1000), the target image is identified as a picture for three-dimensional display; when the acquired difference degree parameter value is not within the range of (0-1000), the target image is identified. A picture that is not used for 3D display.

In addition, when the identification target picture is a picture for three-dimensional display, the target picture may be marked and related information may be stored. In an embodiment, the tag name can be marked by modifying the picture name. For example, the stored related information may include a view format of the picture, that is, a left and right view format or a top and bottom view format. Of course, other manners can be marked and other related information can be stored, which is not limited in this embodiment.

In addition, you can tag and store related information through the media repository.

On the other hand, when the difference degree parameter is not within the preset range value, the target picture is identified as a picture that is not used for three-dimensional display.

In addition, it is possible to set whether to enable the automatic selection display mode function for the terminal. When the terminal turns on the automatic selection display mode function, and the terminal receives the target (the picture to be displayed), the terminal automatically recognizes the type of the target picture, selects the corresponding display frame, drives the device, and controls the hardware to implement the corresponding display mode; when the terminal is closed When the display mode function is automatically selected, when the terminal receives the target picture, the terminal does not recognize the type of the target picture, requires manual recognition, and then selects a corresponding display mode according to the recognition result.

In addition, the case where the terminal receives the target picture includes: initializing the picture, changing the picture state, and operating the display picture. In an embodiment, the initializing the picture includes the first time the terminal is loaded to load the picture; the picture state change includes the creation, replacement or other modification of the picture; the operation displaying the picture includes the user clicking to display a picture, displaying the picture in batches, and sliding to a certain picture.

In addition, for video playback, it may be determined whether the video adopts a three-dimensional video playing mode by identifying whether the included picture in the video is a picture for three-dimensional display. When the picture included in the video is a picture for three-dimensional display, it is determined to adopt a three-dimensional video playing mode; when the picture included in the video is a picture that is not used for three-dimensional display, it is determined to adopt other video playing modes.

In summary, the method for recognizing a three-dimensional display picture provided by the embodiment of the present disclosure obtains a first view and a second view of the target picture, and the difference between the first view and the second view is When the preset range value is within, the target image is identified as a picture for three-dimensional display; thus, the picture for three-dimensional display can be automatically recognized, thereby solving the problem that the operation is inconvenient because the picture for three-dimensional display cannot be automatically recognized. ; achieved the effect of improving the convenience of operation.

Embodiment 2

The embodiment provides a method for recognizing a three-dimensional display picture. Compared with the first embodiment, the embodiment determines the difference degree parameter in the first embodiment as the minimum pixel difference sum, according to the minimum pixel difference value and the identification. Whether the target image is a picture for three-dimensional display. Referring to FIG. 2A, the method includes:

Step 201: Extract a first view and a second view of the target picture.

This step is the same as or similar to step 101 and will not be described here.

Step 202: Acquire pixel sum values of the first view image and the second view image for each deviation value based on the preset N deviation values.

Among them, the deviation value is used to indicate the parallax range for the left and right eyes of the same scene. The deviation value can be based on a large amount of data acquisition, resulting in a more reasonable value or range of values. Alternatively, the offset value can be from 58 mm to 72 mm. Further, in the present embodiment, the offset value can be converted into the number of pixels in accordance with the size of each pixel.

Where N is an integer greater than or equal to 1, that is, at least one offset value is set. In addition, the more the number of deviation values, the more accurate, but too many deviation values lead to an increase in computational complexity, so the number of deviation values can be determined according to actual needs.

Optionally, referring to FIG. 2B, for a deviation value, the pixel difference sum of the first view and the second view may be obtained by:

Step 2021: Acquire a first graphic parameter value of each pixel of the first view.

When the target picture is a picture of the RGB color space, factors affecting the graphic parameter value of the target picture include the gray value of the target picture in each color channel; when the target picture is a picture of the HSI color space, affecting the graphic parameter value of the target picture The factors are the hue, saturation and brightness of the picture. For the target picture of other color spaces, the value of the graphic parameter affecting the target picture is other corresponding factors, and will not be described in detail herein. In this embodiment, a picture of a commonly used RGB color space is taken as an example for description.

For each pixel, the graphical parameter value may include an average of the gray values of the at least one color value. For example, the first graphical parameter value can be the following:

The first type, the first gray value of the R color;

Second, the second gray value of the G color;

Third, the third gray value of the B color;

a fourth, a first average of the first gray value and the second gray value;

a fifth, a second average of the first gray value and the third gray value;

a sixth, a third average of the second gray value and the third gray value;

Seventh, a fourth average value of the first gray value, the second gray value, and the third gray value.

Obviously, the more the types of colors included when calculating the first graphical parameter value, the more accurate the obtained first graphical parameter value. Illustratively, the accuracy of the first, second, and third is similar; the accuracy of the fourth, fifth, and sixth is similar, but the accuracy is higher than the first, second, and The third; the seventh is the most accurate.

Exemplarily, the first view image includes 4 pixels, and the first graphic parameter value is the seventh type. The gray values of the three colors of red, green, and blue included in each pixel are respectively:

The first pixel: 100, 150 and 200;

2nd pixel: 150, 120, and 120;

3rd pixel: 120, 130 and 140;

4th pixel: 100, 100 and 100.

For each pixel, the average value of each gray value is calculated, and the first graphic parameter values of the obtained four pixels are respectively:

The first pixel: 150;

The second pixel: 130;

The third pixel: 130;

4th pixel: 100.

It should be noted that, in actual situations, in general, the number of pixels included in the first view is much larger than 4, and it is assumed here that the first view includes 4 pixels for convenience of description.

Step 2022: Acquire a second graphic parameter value of each pixel of the second perspective view.

The second graphical parameter value of each pixel of the second view is obtained by the same method as the first graphical parameter value of each pixel of the first view in step 2021.

Exemplarily, obtaining gray values of three colors of red, green, and blue included in each pixel are respectively:

The first pixel: 110, 160 and 210;

2nd pixel: 160, 130 and 130;

3rd pixel: 130, 140 and 150;

4th pixel: 110, 110 and 110.

For each pixel, the average value of each gray value is calculated, and the obtained second graphic parameter values of the four pixels are respectively:

The first pixel: 160;

The second pixel: 140;

The third pixel: 140;

4th pixel: 110.

Step 2023, calculating a pixel difference sum according to a preset operation based on the deviation value, the first graphic parameter value, and the second graphic parameter value.

Optionally, referring to FIG. 2C, step 2023 can be implemented by the following method:

Step 2023a, the i-th pixel in the first view and the j-th pixel in the second view are combined into a pixel pair.

Wherein, the range of values of i and j is the range of pixel coordinate values of the first view and the second view, respectively, and the abscissa of the i-th pixel and the abscissa of the j-th pixel are different by d deviation values The ordinate is the same, and the value of d is within the preset deviation interval.

Step 2023b, for each pixel pair, calculate the square of the difference between the first graphics parameter value of the i-th pixel and the second image parameter value of the j-th pixel.

In step 2023c, the squares of the differences are summed to obtain a pixel difference sum.

Alternatively, the step 2023a to the step 2023c may be expressed by the following two formulas, that is, the preset operation may be the following two formulas:

DL(d)=∑ _x,y |FL(x,y)-FR(xd,y)| ² (1)

DR(d)=∑ _x,y |FL(x,y)-FR(x+d,y)| ² (2)

Where d is the deviation value; DL(d) and DR(d) are the pixel difference sums corresponding to the deviation value d; FL(x, y) is the first When a view is placed in a two-dimensional Cartesian coordinate system, the first graphical parameter value of the pixel at the coordinate position (x, y); FR (x, y) is when the second view is placed in the two-dimensional Cartesian coordinate system The second graphical parameter value of the pixel at the coordinate position (x, y); wherein the range of values of x, y is the range of coordinate values of the left view.

In addition, for the case where x-d or x+d exceeds the range of the right view, including but not limited to, the boundary parameter method is used to obtain its graphic parameter value. The relevant method of boundary filling is not described in detail here.

In addition, it should be noted that, since the target picture may be a picture for three-dimensional display, after extracting the first view and the second view, the first view and the second view and the left view are not determined. Correspondence between the map and the right eye view; therefore, when calculating the pixel difference sum, it is necessary to keep the position of the first view in the two-dimensional Cartesian coordinate system, and the second view is along the positive half of the x-axis. The deviation value is moved to obtain a pixel difference sum, and then the second half-axis is extended by the deviation value according to the negative half-axis of the x-axis to obtain another pixel difference sum. By using the above two formulas to calculate the pixel difference sum, the pixel difference sum in different cases can be obtained, thereby improving the precision of the pixel difference sum.

Since for each d value, two pixel difference sums can be obtained by step 202, then N d values can obtain 2N pixel difference sums.

Exemplarily, N is equal to 1, that is, including a d value, assuming d is equal to 1 (representing 1 pixel), and still taking the example in step 2021 and step 2022 as an example, the obtained four first graphical parameter values will be obtained. (150, 130, 130, and 100) and four second graphical parameter values (160, 140, 140, and 110) according to the three steps included in step 2023 or the two pixel differences obtained by equations (1) and (2) And are respectively: DL(d)=2000 and DR(d)=500.

In addition, although d includes a value in the present embodiment, N may be determined as other values depending on the number of pixels included in the target picture. For example, when N is equal to 3, that is, when d includes three values, six pixel difference sums can be obtained by the above method.

Step 203: Acquire a minimum value of each pixel difference sum, obtain a minimum pixel difference sum, and determine a minimum pixel difference sum as a difference degree parameter.

Since different disparity ranges (d values) correspond to different pixel difference sums, and pixel difference values are used to indicate the degree of difference between the first view and the second view; in one embodiment, for three-dimensional display The first view and the second view in the picture are two pictures of different views in the same scene, and the difference is only affected by the parallax, so the difference between the first view and the second view is small. Therefore, the pixel difference value and the medium minimum value are taken as the difference degree parameter to improve the selection of the first view image and the second view image, thereby improving the accuracy of the picture recognition.

Exemplarily, taking the example in step 202 as an example, the minimum value is obtained from two pixel difference values and 500 and 2000, that is, 500, then 500 is the minimum pixel difference sum, and 500 is determined as the difference degree parameter.

Optionally, the difference between the pixel difference value and the maximum value may also be obtained as a difference degree parameter, or multiple pixel difference values and average values may be used as the difference degree parameter, or the pixel difference value may also be selected. Multiple simultaneous as a difference degree parameter.

Step 204: When the minimum pixel difference value is within the preset range value, the target image is identified as a picture for three-dimensional display.

Exemplarily, the preset range value is 400 to 3000, and since the 500 is within the preset range value, the target map is identified. The slice is a picture for three-dimensional display.

Optionally, when multiple pixel difference values are selected and used as the difference degree parameter, the target picture is identified as a picture for three-dimensional display when all the difference degree parameters are within the preset range value.

Step 205: When the minimum pixel difference value is not within the preset range value, the target image is identified as being not used for three-dimensional display of the picture.

Exemplarily, the preset range value is 1000 to 3000. Since 500 is not within the preset range value, the target image is identified as being not used for three-dimensional display of the picture.

Optionally, when a plurality of pixel difference values are selected as the difference degree parameter, when a difference degree parameter is not within the preset range value, the target picture is identified as being not used for three-dimensional display pictures.

Of course, the difference degree parameter is not limited to the minimum pixel difference sum, and may also be other picture-related parameters, which are not described in detail in the embodiments of the present disclosure.

In addition, it should be noted that the content that is not described in the embodiment is referred to the related content in the first embodiment, and is not described in the embodiment.

In summary, the method for recognizing a three-dimensional display picture provided by the embodiment of the present disclosure obtains a first view and a second view of the target picture, and the difference between the first view and the second view is When the preset range value is within, the target image is marked for three-dimensional display of the picture; thus, the image for three-dimensional display can be automatically recognized, thereby solving the problem that the operation is inconvenient due to the inability to automatically recognize the image for three-dimensional display; Improve the convenience of operation.

Embodiment 3

The present embodiment provides an identification device 300 for displaying a picture in three dimensions. Referring to FIG. 3A, the device 300 includes an extraction module 301, an acquisition module 302, and a first identification module 303.

The extraction module 301 is configured to extract a first view and a second view of the target picture.

The obtaining module 302 is configured to acquire a difference degree parameter of the first view image and the second view image, where the difference degree parameter is used to indicate the degree of difference between the first view image and the second view view.

The first identifier module 303 is configured to identify the target image as a picture for three-dimensional display when the difference degree parameter is within the preset range value.

Optionally, referring to FIG. 3B, the apparatus 300 further includes: a second identifier module 304 configured to: when the difference degree parameter is not within the preset range value, identify the target picture as a picture that is not used for three-dimensional display.

Optionally, referring to FIG. 3C, the obtaining module 302 includes:

The first obtaining sub-module 3021 is configured to acquire, according to the preset N deviation values, a pixel difference sum of the first view image and the second view image for each deviation value, where N is an integer greater than or equal to 1.

The second obtaining sub-module 3022 is configured to obtain a minimum value of each pixel difference sum to obtain a minimum pixel difference sum.

The determination sub-module 3023 is arranged to determine the minimum pixel difference sum as the difference degree parameter.

Optionally, referring to FIG. 3D, the first obtaining submodule 3021 includes:

The first obtaining unit 3021a is configured to acquire a first graphic parameter value of each pixel of the first view.

The second obtaining unit 3021b is configured to acquire a second graphic parameter value of each pixel of the second perspective view.

The calculating unit 3021c is configured to calculate the pixel difference sum according to the preset operation based on the deviation value, the first graphic parameter value, and the second graphic parameter value.

Optionally, referring to FIG. 3E, the calculating unit 3021c includes:

The compiling subunit 3021c1 is configured to form the pixel pair of the i-th pixel in the first view and the j-th pixel in the second view.

Wherein, the range of values of i and j is the range of pixel coordinate values of the first view and the second view, respectively, and the abscissa of the i-th pixel and the abscissa of the j-th pixel are different by d deviation values The ordinate is the same, and the value of d is within the preset deviation interval.

The calculation sub-unit 3021c2 is arranged to calculate, for each pixel pair, the square of the difference between the first graphical parameter value of the i-th pixel and the second image parameter value of the j-th pixel.

The summation sub-unit 3021c3 is arranged to sum the squares of the differences to obtain a pixel difference sum.

This embodiment is an embodiment of the device corresponding to the first embodiment and the second embodiment. For the related content of the embodiment, reference is made to the related content of the first embodiment and the second embodiment, and details are not described herein.

In summary, the identification device for displaying a picture in three dimensions according to an embodiment of the present disclosure acquires a first view and a second view of the target picture, and when the difference between the first view and the second view is When the preset range value is within, the target image is identified as a picture for three-dimensional display; thus, the picture for three-dimensional display can be automatically recognized, thereby solving the problem that the operation is inconvenient because the picture for three-dimensional display cannot be automatically recognized. ; achieved the effect of improving the convenience of operation.

Those skilled in the art will appreciate that embodiments of the present disclosure can be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of a hardware embodiment, a software embodiment, or a combination of software and hardware aspects. Moreover, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) including computer usable program code.

The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present disclosure. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing, such as a computer or other The instructions executed on the programmable device provide steps for implementing the functions specified in one or more blocks of the flowchart or in a flow or block of the flowchart.

The above description is only for the preferred embodiments of the present disclosure, and is not intended to limit the scope of the disclosure.

Industrial applicability

The method for identifying a three-dimensional display picture provided by the embodiment of the present disclosure, by acquiring a first view and a second view of the target picture, and when the difference between the first view and the second view is within a preset range When the target image is identified as a picture for three-dimensional display, the picture for three-dimensional display can be automatically recognized, thereby solving the problem that the operation is inconvenient due to the inability to automatically recognize the picture for three-dimensional display; Convenience effect.

Claims (11)

An identification method for displaying a picture in three dimensions, wherein the method comprises: Extracting a first view and a second view of the target image; Obtaining a difference degree parameter of the first view and the second view, where the difference degree parameter is used to indicate a degree of difference between the first view and the second view; When the difference degree parameter is within the preset range value, the target picture is identified as a picture for three-dimensional display. The method of claim 1 wherein the method further comprises: When the difference degree parameter is not within the preset range value, the target picture is identified as a picture that is not used for three-dimensional display. The method according to claim 1, wherein the obtaining the difference degree parameter of the first view image and the second view image comprises: Obtaining, according to the preset N deviation values, a pixel difference sum of the first view and the second view, and N is an integer greater than or equal to 1; Obtaining a minimum value of each of the pixel difference sums to obtain a minimum pixel difference sum; The minimum pixel difference sum is determined as the difference degree parameter. The method of claim 3, wherein the obtaining, for each of the deviation values, the pixel difference sum of the first view and the second view comprises: Obtaining a first graphic parameter value of each pixel of the first view image; Obtaining a second graphic parameter value of each pixel of the second perspective view; And calculating the pixel difference sum according to the preset operation based on the deviation value, the first graphic parameter value, and the second graphic parameter value. The method of claim 4, wherein the calculating the pixel difference sum according to the preset operation based on the deviation value, the first graphical parameter value, and the second graphical parameter value comprises: The i-th pixel in the first view and the j-th pixel in the second view are grouped into pixel pairs, wherein i, j have a value range of the first view and the second The range of pixel coordinate values of the view image, the abscissa of the i-th pixel and the abscissa of the j-th pixel are different by d deviation values, the ordinate is the same, and the value of d is within the preset deviation interval; Calculating, for each pixel pair, a square of a difference between a first graphics parameter value of the i-th pixel and a second image parameter value of the j-th pixel; The sum of the squares of the differences is obtained to obtain the sum of the pixel differences. An identification device for displaying a picture in three dimensions, wherein the device comprises: An extraction module, configured to extract a first view and a second view of the target image; An acquiring module, configured to acquire a difference degree parameter of the first view and the second view, where the difference degree parameter is used to indicate a difference degree between the first view and the second view; The first identifier module is configured to: when the difference degree parameter is within the preset range value, identify the target picture as a picture for three-dimensional display. The apparatus of claim 6 wherein said apparatus further comprises: The second identifier module is configured to: when the difference degree parameter is not within the preset range value, identify the target picture as a picture that is not used for three-dimensional display. The apparatus of claim 6, wherein the obtaining module comprises: a first obtaining submodule, configured to acquire, according to the preset N deviation values, a pixel difference sum of the first view and the second view for each deviation value, where N is an integer greater than or equal to ; a second obtaining submodule, configured to obtain a minimum value of each of the pixel difference sums to obtain a minimum pixel difference sum; Determining a sub-module, set to determine the minimum pixel difference sum as the difference degree parameter. The apparatus of claim 8, wherein the first acquisition submodule comprises: a first acquiring unit, configured to acquire a first graphic parameter value of each pixel of the first view image; a second acquiring unit, configured to acquire a second graphic parameter value of each pixel of the second perspective view; The calculating unit is configured to calculate the pixel difference sum according to the preset operation based on the deviation value, the first graphic parameter value, and the second graphic parameter value. The apparatus of claim 9 wherein said computing unit comprises: Forming a sub-unit, configured to form a pixel pair of the i-th pixel in the first view and the j-th pixel in the second view, wherein values of i and j are respectively the first view And the pixel coordinate value range of the second perspective view, the abscissa of the i-th pixel and the abscissa of the j-th pixel are different by d deviation values, the ordinate is the same, and the value of d is within a preset deviation interval; Calculating a subunit, configured to calculate, for each pixel pair, a square of a difference between a first graphic parameter value of the ith pixel and a second image parameter value of the jth pixel; Summing the subunits, set to sum the squares of the differences, to obtain the sum of the pixel differences. A storage medium arranged to store a program code for performing the method of any one of claims 1 to 5.

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