JPH1132250A - Voice-guided landscape labeling device and system - Google Patents

Abstract

(57) [Summary] [Problem] To present to a user geographical information on a computer in association with each part in a landscape image of a real scene. A landscape image is acquired by an image acquisition unit, a camera position at the time of image acquisition is acquired by a position information acquisition unit, and a camera angle, a focal length, and a landscape image size are acquired by a camera attribute information acquisition unit. . The map information management unit 5 obtains a visual field space in the map information space based on the acquired camera position, camera angle, focal length, and image size, and acquires a structure existing in the visual field space. Guide voice information including the name of the structure or its attribute information is created by the guide voice information creation unit 6A,
The guide voice information output section 7A outputs guide voice information.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention superimposes and displays, on an image display device, geographical information about each partial area in an image taken by a user using a landscape image input device such as a camera. The present invention relates to a device that teaches a user by voice guidance or the like.

[0002]

2. Description of the Related Art Conventionally, there have been various navigation systems as systems for instructing users on geographical information about the area where the users are located.

FIG. 13 is a block diagram of a navigation device disclosed in Japanese Patent Application Laid-Open No. 8-273000. This device receives a vehicle position data and a movement data, receives a road map data, updates a vehicle position with reference to a position updating unit 71, and displays display road data and display background data based on map data and the like. Display data generator 7 to be generated
2, a three-dimensional moving image data creating unit 73 for creating three-dimensional moving image data based on these display data, and a storage unit 74.
When a travel route including a waypoint is set in advance, the device has a function of setting a route while viewing a real moving image display screen along a road that actually exists instead of a map screen.

According to this device, when a user travels along a route that actually exists, the user can view a moving image display (for example, FIG. 14) along the route.

[0005]

However, in the case of using the same device, the human finally associates the real scene with the geographical information in the computer world with the naked eye, so that the person in the real scene can be used. You have to recognize what is. In other words, humans rely on the naked eye to work the human brain unconsciously, based on the symbols in the map displayed as a moving image, to determine what the actual buildings, roads, and mountains are in front of the user. It must be understood by performing the work of association. At street corners, etc., comparing the map on the computer with the actual scenery, grasping the direction and finding landmarks, gazing at the direction, understanding the characteristics of the building in that direction, and then looking at the map again Understand what the building is.

[0006] For this reason, there is a problem that the trouble of comparing the map on the computer with the actual scenery many times and associating with the human cannot be omitted. Especially in the dark or at night, it is difficult to see the actual scenery and to take measures.

An object of the present invention is to provide a landscape labeling apparatus and system for associating a user with geographical information on a computer and each part in an image of a real landscape (hereinafter referred to as a landscape image). It is to be.

[0008]

According to the present invention, map data on a computer is created in advance as three-dimensional data, and a position at which an image (hereinafter referred to as a landscape image to distinguish it from a CG image) is input. , Camera angle, focal length, and image size at the time of shooting, and computer graphics (hereinafter referred to as CG) when viewed from the position at the time of shooting the actual scenery, the camera angle, and the focal length in the three-dimensional map space on the computer. It is assumed that geographical information in an image is obtained, a guide voice including the geographical information is created, and the landscape is described with the guide voice. The geographic information is the name of a structure or the like or its attribute information in an image, and the attribute information means information on all attributes (for example, contour, color, etc.) of the structure. In this specification, the term structure is used to mean all data having a certain geographical structure in the map DB, including natural topography such as mountains, rivers, and the sea, in addition to artificial structures. . When acquiring geographic information, we obtain a landscape image based on the camera position, camera angle, focal length, image size,
Find structures of multiple images. The position of the landscape image in which the structure is supposed to be found (hereinafter, referred to as an assigned position) is obtained, and guide voice information including the name or attribute information of the structure is created.

Further, in order to further improve the accuracy of associating the structure in the landscape image with the structure in the CG image,
The previously acquired structure is associated with each partial region of the landscape image by pattern matching. A CG image is created on the basis of the acquired structure, a partial region in the CG image is associated with the partial region of the landscape image by pattern matching, and the structure as a source of the associated partial region Ask for.

Here, an example of a method for creating a CG image will be described. By accessing the three-dimensional map DB based on the camera position, camera angle, focal length, and image size obtained earlier,
Obtain the visual field space in the three-dimensional map space. A structure in the visual field space is obtained, and three-dimensional data of each structure is three-dimensionally projected and converted onto the projection plane using the camera screen as a projection plane. Further, of the line data constituting the projected figure of each structure, line data hidden by other structures and invisible is erased using a normal vector method or the like. The CG image is divided into regions based on the line data remaining after the elimination of the hidden lines. 3D map DB
Is used, the name of the structure that is the basis of the area can be associated with each area.

Then, the structure name of the partial area of the CG image associated with each partial area of the landscape image is extracted by pattern matching. The position coordinates of the actual scenery image on which the extracted structure name is to be superimposed are obtained by three-dimensionally projecting the position coordinates of the structure in the three-dimensional map space onto the projection plane. Guide voice information is created from the position coordinates of the actual scenery image on which the extracted structure name is to be superimposed. It outputs guide voice information and guides the user by voice.

[0012] A voice-guided landscape labeling apparatus of the present invention comprises: an image acquisition unit for acquiring an image; a position information acquisition unit for acquiring a camera position at the time of image acquisition; a camera angle and a focal length when the image is acquired; A camera attribute information acquisition unit that acquires an image size, and manages map information, obtains a visual field space in a map information space based on the acquired camera position, camera angle, focal length, and image size. Map information management means for acquiring an existing structure, guide voice information creation means for creating guide voice information including the name of the structure or its attribute information, and guide voice information output means for outputting the guide voice information And control means for controlling each of the above means.

According to another aspect of the present invention, there is provided a voice-guided landscape labeling apparatus, comprising: an image acquisition unit for acquiring an image; a position information acquisition unit for acquiring a camera position at the time of image acquisition; A camera attribute information acquiring unit for acquiring an image size, an image processing unit for dividing an acquired image into a plurality of partial areas, and managing map information, based on the acquired camera position, camera angle, focal length, and image size. Finding the view space in the map information space, map information management means for acquiring a structure existing in the view space, and associating the acquired structure with the partial region of the image,
Guide voice information generating means for generating guide voice information including the associated structure name or attribute information thereof, guide voice information output means for outputting the guide voice information, and control means for controlling the respective means Having.

According to an embodiment of the present invention, the guide audio information creating means creates a CG image based on the acquired structure, and performs pattern matching on the partial area of the image to obtain a CG image in the CG image. The structure is associated with the partial area, a structure of the associated partial area is obtained, and guide voice information including the name or attribute information of the structure is created.

According to an embodiment of the present invention, the guide voice information creating means performs a three-dimensional projection conversion of the acquired structure on a camera screen, deletes a structure that cannot be seen from the viewpoint, creates a CG image, and creates a CG image. CG by contour line of partial area in image
Dividing the image into partial areas, associating the partial areas of the image with the partial areas of the CG image by pattern matching, and determining a structure of the associated partial area;
Guide voice information including the name or attribute information of the structure is created.

A voice-guided landscape labeling system according to the present invention comprises a landscape labeling terminal and a landscape labeling center. The landscape labeling terminal includes image acquisition means for acquiring an image, and position information acquisition for acquiring a camera position at the time of image acquisition. Means, camera attribute information acquisition means for acquiring a camera angle, a focal length, and an image size at the time of image acquisition; image processing means for dividing the acquired image into a plurality of partial areas; information on area division of the image; Communication control means for transmitting the camera position, the camera angle, the focal length, and the image size to the landscape labeling center via a communication network, receiving guide voice information from the landscape labeling center, and outputting the guide voice information And a terminal control means for controlling each of the above means. Receiving information about the area division of the image, the camera position, the camera angle, the focal length, and the image size from the landscape labeling terminal via the communication network, and sending the label information to the landscape labeling terminal. And communication control means for transmitting map information, managing the map information, obtaining a view space in the map information space based on the received camera position, camera angle, focal length, and image size, and constructing a structure existing in the view space. Map information management means for acquiring the acquired structure with the partial area of the image, and guide audio information for creating guide audio information including name or attribute information of the associated structure It has a creating means and a center control means for controlling each of the above means.

[0017]

Next, embodiments of the present invention will be described with reference to the drawings.

FIG. 1 is a configuration diagram of a voice-guided landscape labeling apparatus according to a first embodiment of the present invention.

The landscape labeling apparatus according to the present embodiment acquires an image, for example, an image acquisition unit 1 which is a digital camera, and acquires a camera position when acquiring an image, for example, a position information acquisition unit which is a GPS receiver. 2. When acquiring an image, acquire a camera angle, a focal length, and an image size;
For example, a camera attribute information acquisition unit 3, which is a three-dimensional electronic compass attached to a digital camera, and manages map information, and a view space in a map information space based on the acquired position, camera angle, focal length, and image size. To obtain a structure existing in the visual field space, for example, a map information management unit 5 which is a map DB management program, and guide voice information generation for generating guide voice information including the name of the structure or its attribute information Unit 6A and a guide voice information output unit 7A that outputs the generated guide voice, for example, a speaker
And a control unit 8A for controlling each of the units 1 to 7A.

FIG. 2 is a configuration diagram of a landscape labeling apparatus according to a second embodiment of the present invention, and FIG. 3 is a flowchart of processing of the landscape labeling apparatus of FIG.

The landscape labeling apparatus of the present embodiment acquires a landscape image, for example, an image acquisition unit 1 which is a digital camera, and acquires a camera position at the time of acquiring an image.
For example, a position information acquisition unit 2 that is a GPS receiver, and a camera angle, a focal length, and an image size that are also acquired when acquiring an image.
Camera attribute information acquisition unit 3 which is a three-dimensional electronic compass, and image processing unit 4 which divides the acquired image into a plurality of partial areas
Map information management that manages map information, obtains a visual space in the map information space based on the acquired camera position, camera angle, focal length, and image size, and acquires structures existing in the visual space. A unit 5, a guide voice information creating unit 6 </ b> B that creates a guide voice information including a name or attribute information of the associated structure by associating the acquired structure with the partial region of the image by pattern matching, A guide voice information output unit 7B, which is a speaker, for example, that outputs the generated guide voice, and a control unit 8B that controls the above units 1 to 7B.

Next, the operation of this embodiment will be described in detail.

When the landscape labeling device is activated, first, the control unit 8B obtains information on the landscape image by:
A processing start command is sent to the position information acquisition unit 2, the camera attribute information acquisition unit 3, and the image acquisition unit 1. The position information acquisition unit 2 receives a command from the control unit 8B, collects position information with a GPS receiver or the like every second, and transfers the collected information to the control unit 8B (step 21). Here, the time interval is not limited to the unit of seconds, but may be any value. The image acquisition unit 1 receives a command from the control unit 8B, acquires a landscape image every second, and passes it to the control unit 8B (step 22). The camera attribute information acquisition unit 3 includes a control unit 8B
(Step 2), the camera angle of the landscape image recording device such as a camera at the time of image capturing is acquired as a set of the horizontal angle and the elevation angle.
3) At the same time, if it is a landscape image device having a zoom function, the focal length is obtained (step 24). Since the image size is fixed for each landscape image device, the control unit 8B holds the image size information. The control unit 8B holds the collected information as a landscape image file.

FIG. 4 shows the file format of the data structure of the landscape image file. The landscape image file has header information and image data. The header information includes position information, camera angle information, focal length, time information, image size, type, and size of an image file. As location information,
East longitude, north latitude, and elevation data (for example, 137 degrees east 5 degrees
5 minutes 10 seconds, latitude 34 degrees 34 minutes 30 seconds north, altitude 101m3
3 cm). The camera angle includes horizontal angle data and elevation angle data (for example, horizontal angle 254 degrees clockwise, elevation angle 15 degrees, etc.). The focal length data is the focal length (for example, 28 mm) of the camera lens at the time of capturing an image. The time information includes the time at the time of shooting (for example, 15:06:17, January 31, 1997, Japan time). As the image size of the image file, the vertical and horizontal pixel sizes (for example, 64
0 × 480). File type (TIF
E format, 8-bit color, etc.). It also has the number of bytes of the file (307.2 KB, etc.). The image data itself has, for example, a binary format.

After storing the landscape image file, the control unit 8B instructs the image processing unit 4 to extract the outline from the landscape image and divide the landscape image into a plurality of regions.
The image processing unit 4 performs a differentiation process on the basis of the density difference in the landscape image to extract a contour line (step 2).
5) The region is divided by performing labeling with the outline as a boundary (step 26). Note that the technical term of labeling used here is a technical term used in image area division, and is different from landscape labeling, which is the name of the present invention. As a procedure, first, the image is converted into a monochrome grayscale image. Since the contour is a portion where the brightness changes suddenly, the contour is extracted by performing a differentiation process to find a portion where the differential value is larger than a threshold value. At this time, the line width of the outline is one pixel, and the outlines are connected. For this purpose, a thinning process is performed to obtain a connected line having a line width of one pixel. Where the differentiation process,
It is sufficient to use a conventional method for the thinning processing.

The obtained outline is regarded as the outline of the region, and an operation of numbering the region constituted by the outline is performed.
The largest number among the numbers is the number of areas, and the number of pixels in the area indicates the area of the area. FIG. 9 shows an example in which a landscape image is divided into a plurality of partial areas. Note that a measure of similarity (closeness) between regions may be introduced, and a clustering process may be performed to combine a plurality of regions having similar properties into one region. Any existing clustering method may be used.

When the control section 8B completes the area division processing of the landscape image, it issues a processing request for calculating the visual field space by passing the header information of the landscape image file to the map information management section 5 (step 27). . An example of the map information management unit 5 is a map database program. The map information management unit 5 manages three-dimensional map data. Although two-dimensional map data may be used, in this case, since there is no height information, the accuracy of the position at which the labeling is applied to the actual scenery is inferior. In addition,
When the data is based on the two-dimensional map data, the processing is performed by supplementing the height information. For example, if it is two-dimensional data of a house,
If there is floor information indicating the number of floors of the house, multiply the number of floors by a certain number to estimate the height of the house, and create three-dimensional data based on the height information estimated and estimated as two-dimensional data. I do.
Even when there is no floor information, the height information can be estimated by assigning a certain number of heights according to the area of the house figure, and similarly, three-dimensional data is created based on the estimated height information. . In this way, three-dimensional data is created and the process proceeds.

FIG. 5 shows an example of three-dimensional map data. FIG.
(1) shows a map information space expressed in two dimensions, and FIG.
(2) shows a map information space expressed in three dimensions. This 3
With respect to the three-dimensional map information space, the map information management unit 5 receives a command from the control unit 8B and calculates a visual field space based on the header information of the landscape image file (step 28). FIG. 6 shows a calculation example of the visual field space. First, the XY axes stretch in the horizontal direction,
The Z axis extends in the vertical direction. The position of the viewpoint E is set in the three-dimensional map information space from the position information in the header information of the landscape image file. For example, 137 degrees east longitude 55
Minute 19 seconds, latitude 34 degrees 34 minutes 30 seconds north, altitude 101m33
If it is cm, the corresponding coordinates in the map mesh number corresponding to the cm are set. Similarly, the camera angle direction is set based on the horizontal angle and the elevation angle in the camera angle information in the header information. The focal point F is set at a point advanced from the viewpoint E by the focal length on a straight line representing the camera angle direction. The line-of-sight direction vector is a unit vector having a length of 1 from the viewpoint E on the straight line. In the image size of the landscape image file, the width x on the X-axis of the camera screen is set from the horizontal size, and the width y on the Y-axis is set from the vertical size. The horizontal x vertical y plane is set so as to be perpendicular to the camera angle direction with respect to the line of sight vector and to include the focal point F. Straight lines connecting the four corner points of the camera screen are obtained from the coordinates of the viewpoint E, and a three-dimensional space formed by four half lines extending from the viewpoint E is defined as a visual field space. FIG. 7 shows an example of the visual field space in the three-dimensional map space. The three-dimensional map space is viewed from the XZ plane. 7 is a cross-sectional view of the space belonging to the viewing space on the XZ plane. In the example of FIG. 7, buildings and mountains in the viewing space are included.

Further, the map information management unit 5 obtains a structure existing in the visual field space. For each structure, it is calculated whether or not each vertex constituting the solid representing the structure exists in the internal region of the viewing space. Usually, a two-dimensional map space is divided by a two-dimensional mesh of a fixed size. As a method of cutting a mesh in the three-dimensional map space, a mesh is cut at regular intervals in the height direction in addition to the two-dimensional mesh in the vertical and horizontal directions. The space is divided by a rectangular parallelepiped unit space. First, the presence or absence of an overlapping portion between the rectangular parallelepiped unit space and the visual field space is checked, and the number of the three-dimensional unit map space having the overlapping portion is obtained. The number of the three-dimensional unit map space here is the same as a so-called mesh number. For structures in the overlapping 3D unit map space,
Investigate whether there is any overlap with the visual field space. A straight line connecting the coordinates of the vertices constituting the structure and the coordinates of the viewpoint is obtained. If the straight line has an intersection with the camera screen of FIG. 8, it is within the visual field space. If at least one vertex of the plurality of vertices constituting the structure satisfies this condition, the structure has an overlapping portion with the viewing space.

When the structure is included in the view space or a part of the structure, the camera screen is used as a projection plane, and a process for three-dimensionally projecting each structure to this projection plane is started (step 29). ). Here, as shown in FIG. 8, after the point P is re-expressed in the coordinate system based on the viewpoint E based on the following equation (1), the point P is projected on the camera screen to obtain the intersection Q. .

[0031]

(Equation 1) Here, point P = (x, y, z): coordinates of the vertices constituting the structure point E = (ex, ey, ez): coordinates of the viewpoint vector L = (lx, ly, lz): gaze direction vector (Unit vector) Point P ′ = (x ′, y ′, z ′): coordinates in a coordinate system based on the viewpoint E of the point P r = (lx ² + ly ² ) ^1/2 intersection Q = (X, Y): The projection point t of the point P on the camera screen is the focal length. In the three-dimensional projection conversion, first, for each structure, the surface on which the vertex extends is obtained. For example, in the case of a structure represented by a rectangular parallelepiped, six surfaces are obtained. When each plane is projected onto the camera screen, the distance between the viewpoint and the corresponding point on the plane is calculated for each pixel on the camera screen included in the projection area, and stored as a depth value (Z value) in the memory. Store. For each surface of each structure, the depth value (Z
Value) and store it in memory. Note that z ′ in (Equation 1) represents a depth value (Z value) from the viewpoint.

Among the structures three-dimensionally transformed on the camera screen, there are structures that can be seen from the viewpoint and structures that cannot be seen. Among them, it is necessary to find only the structure that can be seen from the viewpoint, and to find the surface on the opposite side from the viewpoint or the surface that is blocked by other structures. Therefore, hidden surface processing is performed (step 3
0). There are various methods for processing the hidden surface.
Use the buffer method. Other scan line methods and ray tracing methods may be used.

A pixel on the camera screen is arbitrarily determined, and a plane having the smallest depth value for the pixel is determined. As described above, when processing is sequentially performed on each surface of each structure, the surface closest to the viewpoint is left for each pixel on the camera screen. The plane closest to the viewpoint is determined for each pixel on the camera screen, and pixels on the camera screen that share the plane closest to the viewpoint generally form an area.
There can be a plurality of regions consisting of pixels with the common surface being the closest surface. The region obtained in this way is a region obtained by performing a three-dimensional projection conversion of the partial region of the structure seen from the viewpoint. Surfaces on the other side of the view and those obstructed by other structures have been erased.

The area thus formed forms a CG image area (step 31).

With respect to the coordinates of the vertices of the two-dimensional figure constituting the CG image area, three-dimensional coordinates before projection transformation are obtained, and the correspondence between the two is stored in the memory as link information. It is used to determine which structure the two-dimensional area is a projection of based on the link information.

Based on the line data remaining after erasing hidden lines,
The CG image is divided into regions. Since the three-dimensional map DB is used, the name of the structure serving as the basis of each area can be associated with each area. The divided areas of the CG image are numbered sequentially. FIG. 10 shows an example in which a CG image is divided into a plurality of partial regions.

When the CG image region division processing is completed, the control unit 8B instructs the guide voice information creation unit 6B to associate the CG image division region with the landscape image division region. The guide voice information creating unit 6B associates the divided regions of the CG image with the divided regions of the landscape image by template matching (step 32, see FIG. 11).

The divided areas of the landscape image are associated with the divided areas of the CG image in ascending order of the number (for example, No. 1). For matching, any of the conventional matching methods may be used, but here, a simple template matching method is used. That is, two regions to be compared are superimposed, and when the ratio of overlapping portions is equal to or greater than a certain ratio determined as a threshold, the regions are associated as regions relating to the same structure. For example, the coordinate value of each pixel in the first divided region R1 of the landscape image is set to (A, B). The value of the pixel at coordinates (A, B) is 1 because it is inside the area. In the first divided area S1 of the CG image,
If the coordinates (A, B) are within the area S1, the pixel value is 1 and overlaps, but if the coordinates (A, B) are outside the area S1, the pixel value is 0 and does not overlap. In this way, the overlap coefficient K (A, B) at the coordinates (A, B) is determined to be 1 when they overlap and 0 when they do not overlap. The coordinates (A, B) are moved within the region R1, and the overlap coefficient K
(A, B) is obtained. Then, with respect to the number N1 of coordinates (A, B) moved in the region R1, the overlap coefficient K (A,
The number N2 of coordinates where B) was 1 is obtained, and when N1 / N2 is equal to or larger than the threshold value, it is determined that the divided region R1 of the landscape image and the divided region S1 of the CG image correspond to each other. This association is performed from the first to the last divided area of the landscape image. In addition, as the matching method, an evaluation function that has the same value even if there is a slight displacement in the XY directions may be used.

The guide audio information creating section 6B associates the partial area of the CG image with the partial area of the landscape image, and then creates guide audio information to be output for each partial area of the landscape image (step Enter 34). First,
With respect to the partial region of the landscape image, the corresponding partial region of the CG image is extracted. The partial region of the extracted CG image is originally obtained by three-dimensionally projecting and converting a certain surface of the three-dimensional structure in the three-dimensional map space onto the camera screen. Therefore, the surface of the three-dimensional structure on which the three-dimensional projection conversion is based is obtained using the depth value (Z value) of the partial region of the CG image as a key. The link information created at the time of the three-dimensional projection conversion may be used as a key. Based on the surface of the original structure, the three-dimensional map DB is accessed to acquire the name or attribute information of the structure. Here, the attribute information means information accompanying the structure,
Any information may be used as long as the information is related to the structure. Guide voice information including the name or attribute information of the structure is created.

Here, an example of the guide voice information will be described.

If it is set in advance so as to provide guidance on the location of the road, information on the road from the map information (for example, “National highway No. 1 given coordinates (x1, y1)”,
“Pedestrian crossing assigned coordinates (x2, y2)”) is extracted, and based on that information, “National Highway No. 1 is crossing in front.
There is a pedestrian crossing in front of you. Automatically generates a guide voice such as "" using existing voice synthesis technology. If it is set in advance so as to guide a large area in a landscape image, it corresponds to each name information in the map information. The partial area in the landscape image is obtained, the area of the partial area is calculated, and the top several are extracted from the large area. Based on the name information corresponding to the extracted partial area and the assigned coordinates, “Lion Mansion” Ginza is in the direction of 45 degrees to the right and 100 meters away. Similarly, a guide voice such as "" is automatically generated.

When the guide voice information creating section 6B has completed the creation of the guide voice information, it passes the guide voice information to the control section 8B.

When receiving the guide voice information, the control section 8B instructs the guide voice information output section 7B to output the guide voice information. The guide voice information is output from the guide voice information output unit 7B (step 36).

When outputting the guide voice information, the guide voice information output section 7B notifies the control section 8B of the completion of the output. When receiving the output completion notification, the control unit 8B again executes the above-described series of processing procedures when performing the landscape labeling process continuously.

FIG. 12 is a block diagram of a voice-guided landscape labeling system in which the landscape labeling device of FIG. 2 is applied to a communication system.

The landscape labeling system includes a landscape labeling terminal 40, a landscape labeling center 50, and a communication network 60.

The landscape labeling terminal 40 acquires an image acquiring section 41 for acquiring an image, a position information acquiring section 42 for acquiring a camera position when acquiring an image, and acquires a camera angle, a focal length, and an image size when acquiring an image. Camera attribute information acquisition unit 43
And an image processing unit 44 that divides the acquired image into a plurality of partial areas, and information about the area division of the image, the camera position, the camera angle, the focal length, and the image size, which are transmitted to the landscape labeling center 50 via the communication network 60. A communication control unit 45 that transmits and receives guide voice information from the landscape labeling center 50; a guide voice information output unit 47 that outputs guide voice information including the name or attribute information of the structure in the label information; It comprises a terminal control unit 46 for controlling.

The landscape labeling center 50 has a communication network 60.
A communication control unit 53 that receives information related to the area division of the image, a camera position, a camera angle, a focal length, and an image size from the landscape labeling terminal 40 via the landscape labeling terminal 40, and transmits guide voice information to the landscape labeling terminal 40; Map information management unit 5 that calculates a view space in the map information space based on the received camera position, camera angle, focal length, and image size, and acquires a structure existing in the view space.
1, a guide audio information creating unit 52 that associates the acquired structure with the partial region of the image by pattern matching, and creates guide audio information including the name or attribute information of the associated structure; It comprises a center control unit 54 for controlling each of the above units.

The guide voice information creation section 52 can have the same configuration as the guide voice information creation section 6B in FIG.

[0050]

As described above, according to the present invention, each part in the scenery image of the actual scene is guided to the user by voice. You can see the name of the image.

[Brief description of the drawings]

FIG. 1 is a configuration diagram of a voice-guided landscape labeling device according to a first embodiment of the present invention.

FIG. 2 is a configuration diagram of a voice-guided landscape labeling device according to a second embodiment of the present invention.

FIG. 3 is a flowchart of processing of a voice-guided landscape labeling device according to a second embodiment.

FIG. 4 is a diagram showing a data structure of a landscape image file.

FIG. 5 is a diagram showing an example of a two-dimensional map (FIG. 1 (1)) and its three-dimensional map (FIG. 2 (2)).

FIG. 6 is a diagram illustrating a calculation method of a visual field space.

FIG. 7 is a diagram showing an example of a visual field space in a three-dimensional map space.

FIG. 8 is a diagram showing an example of a projection view.

FIG. 9 is a diagram illustrating an example of area division of a landscape image.

FIG. 10 is a diagram illustrating an example of area division of a CG image.

FIG. 11 is an explanatory diagram of pattern matching between a partial area of a landscape image and a partial area of a CG image.

FIG. 12 is a configuration diagram of a voice-guided landscape labeling system according to an embodiment of the present invention.

FIG. 13 is a configuration diagram of a navigation device disclosed in Japanese Patent Application Laid-Open No. 8-273000.

FIG. 14 is a diagram illustrating a display example of a moving image.

[Explanation of symbols]

 Reference Signs List 1 landscape image acquisition unit 2 position information acquisition unit 3 camera attribute information acquisition unit 4 image processing unit 5 map information management unit 6A, 6B guide audio information creation unit 7A, 7B guide audio information output unit 8A, 8B control unit 21 to 36 steps 40 landscape labeling terminal 41 landscape image acquisition unit 42 position information acquisition unit 43 camera attribute information acquisition unit 44 image processing unit 45 communication control unit 46 terminal control unit 47 guide audio information output unit 50 landscape labeling center 51 map information management unit 52 guide audio Information creation unit 53 Communication control unit 54 Center control unit 60 Communication network

Continued on the front page (51) Int.Cl. ⁶ Identification code FI G10L 3/00 G06F 15/62 350A H04N 7/18 380 (72) Inventor Masaji Takano 3-9-1-2 Nishishinjuku, Shinjuku-ku, Tokyo Japan Telegraph and Telephone Co., Ltd. (72) Inventor Takeshi Ikeda 3-19-2 Nishishinjuku, Shinjuku-ku, Tokyo Japan Telegraph and Telephone Co., Ltd.

Claims (7)

[Claims] An image acquisition unit for acquiring an image; a position information acquisition unit for acquiring a camera position at the time of image acquisition; and a camera attribute information acquisition for acquiring a camera angle, a focal length, and an image size when the image is acquired. Means, managing map information, obtaining a view space in a map information space based on the obtained camera position, camera angle, focal length, and image size, and obtaining map information that acquires structures existing in the view space. Management means; guide voice information generating means for generating guide voice information including the name of the structure or attribute information thereof; guide voice information output means for outputting the guide voice information; control means for controlling the above means Landscape labeling device with a. 2. An image acquisition unit for acquiring an image, a position information acquisition unit for acquiring a camera position at the time of image acquisition, a camera attribute information acquisition unit for acquiring a camera angle, a focal length, and an image size at the time of image acquisition. , Image processing means for dividing the acquired image into a plurality of partial areas, managing map information, and calculating a visual field space in the map information space based on the acquired camera position, camera angle, focal length, and image size, Map information management means for acquiring a structure existing in the visual field space, and associating the acquired structure with the partial region of the image, and associating the name of the associated structure or its attribute information Guide voice information generating means for generating guide voice information including the guide voice information output means for outputting the generated guide voice information; Ring device. 3. The guide voice information creating means creates a CG image which is a computer graphic image based on the acquired structure, and performs pattern matching on the partial region of the image in the CG image. Corresponding to the partial area, finding the structure of the associated partial area,
3. The apparatus according to claim 2, wherein guide voice information including name or attribute information of the structure is created. 4. The guide voice information creating means performs a three-dimensional projection conversion of the acquired structure on a camera screen, deletes a structure that cannot be seen from a viewpoint, creates a CG image, and creates a CG image of a partial region in the CG image. The CG image is divided into partial regions by contour lines, the partial regions of the image and the partial regions of the CG image are associated by pattern matching, a structure of the associated partial region is obtained, 3. A guide voice information including name or attribute information is created.
The described device. 5. A landscape labeling terminal and a landscape labeling center, wherein the landscape labeling terminal is an image acquisition unit for acquiring an image, a position information acquisition unit for acquiring a camera position at the time of image acquisition, and a camera at the time of image acquisition. Camera attribute information acquisition means for acquiring an angle, a focal length, and an image size; image processing means for dividing the acquired image into a plurality of partial areas; information on area division of the image; the camera position; the camera angle; A communication control unit that transmits the focal length and the image size to the landscape labeling center via a communication network and receives guide audio information from the landscape labeling center, and a guide audio information output unit that outputs the guide audio information. And a terminal control means for controlling each of the above means, wherein the landscape labeling center is connected to the A communication control unit that receives information related to area division of the image, the camera position, the camera angle, the focal length, and the image size from a viewing labeling terminal, and transmits the guide voice information to the landscape labeling terminal; Map information management means for managing information, obtaining a view space in a map information space based on the received camera position, camera angle, focal length, and image size, and acquiring a structure existing in the view space; Guiding audio information creating means for associating the acquired structure with the partial region of the image, creating the guide audio information including the name or attribute information of the associated structure, A landscape labeling system having a center control means for controlling. 6. The guide audio information creating means creates a CG image, which is a computer graphics image, based on the acquired structure, and performs pattern matching on the partial region of the image in the CG image. Corresponding to the partial area, finding the structure of the associated partial area,
The system according to claim 5, wherein guide audio information including name or attribute information of the structure is created. 7. The guide voice information creating means performs a three-dimensional projection conversion of the acquired structure on a camera screen, creates a CG image by erasing a structure that cannot be seen from a viewpoint, and creates a CG image of a partial region in the CG image. The CG image is divided into partial regions by contour lines, the partial regions of the image and the partial regions of the CG image are associated with each other by pattern matching, and the structure of the associated partial region is obtained. The system according to claim 5, wherein guide audio information including name or attribute information and an assigned position is created.