WO2019090502A1 - Intelligent terminal-based image capturing method and image capturing system - Google Patents

Abstract

Provided in the present invention are an intelligent terminal-based image capturing method and image capturing system, the image capturing method comprising the following steps: presetting a capturing template; calling a camera application of an intelligent terminal to acquire a captured image; extracting a capture object and capturing background of the captured image; comparing the capture object and the capturing background of the captured image to a capture object and capturing background of the capturing template; and prompting a user to adjust capturing according to the result of the comparison between the captured image and the capturing template. According to the technical solution of the present invention, a better capturing angle or capturing technique is recommended to a user in the process of the user taking a photo or taking a selfie, which facilitates the user adjusting to obtain a perfect photo without post-processing.

Description

Image capturing method based on intelligent terminal and image capturing system Technical field

The present invention relates to the field of intelligent terminals, and in particular, to an image capturing method based on a smart terminal and an image capturing system.

Background technique

With the continuous development of electronic information technology, smart terminals such as smart phones and tablet computers have been widely used, and smart terminals have become an indispensable necessity in the life of users. Due to the convenience of smart terminals and the improvement of the pixels of smart terminal cameras, more and more users are more inclined to take pictures through smart terminals, and enjoy and record the beauty of life at all times, especially for female users, using smart phones. When smart terminals take photos or take selfies more and more, to some extent, smart terminals have gradually replaced cameras as the mainstream tools for current photography.

The development of intelligent terminals has been experienced for more than ten years. In the past ten years, the software, hardware and user experience of intelligent terminals have undergone subversive changes. With the continuous advancement of smart terminal technology, users have Not only is it satisfied that the camera function using the smart terminal simply takes a photo for real-time recording, but prefers to take a photo that is better, more diverse, and personalized. In order to meet the user's personalized and diverse needs for taking photos, the camera of the smart terminal provides more and more functions for users to take photos or take self-portrait photos.

At present, the functions provided by the smart terminal for the user to take photos are limited to the image processing technology at the later stage of the photo, so as to improve the visual quality of the photo, such as brightness, color conversion, enhancement, suppression of certain components, geometric transformation of the image, etc. To improve the quality of the image, to color, map, synthesize, shading, tint and chroma modification, add special effects, edit, repair and other methods, as well as the so-called portrait beauty, Various methods such as image beautification, among which methods of portrait treatment, such as whitening, microdermabrasion, face-lifting, slimming, enlargement, elongation, reshaping, etc., methods of image beautification, such as editing, enhancement, various Filters, mosaics, borders, stickers, text, background blur, etc., allow users to choose different beauty or filter effects after taking a photo to achieve different shooting effects.

In practical applications, when using the camera function of the smart terminal, it is often taken or guaranteed on the smart terminal. The stored photos are post-touched to obtain the later photos of the corresponding effects, and the user can not recommend the user's better shooting angle and shooting skills in real time during the photo shooting process, which is convenient for the user to adjust, and the perfect photo can be obtained without post processing.

Therefore, the present invention provides an image capturing method based on a smart terminal and an image capturing system, wherein the image capturing method includes the steps of: preset a shooting template; calling a camera application of the smart terminal to acquire a captured image; and extracting the captured image The subject and the shooting background; the subject and the background of the captured image are compared with the subject of the shooting template and the shooting background; and the user is prompted to perform the shooting adjustment according to the comparison result between the captured image and the shooting template. The technical solution of the present invention, in the process of taking a photo or self-timer by the user, recommends a better shooting angle or shooting skill for the user, and is convenient for the user to adjust, and the perfect photo can be obtained without post-processing.

Summary of the invention

In order to overcome the above technical deficiencies, an object of the present invention is to provide an image capturing method and an image capturing system based on a smart terminal.

In an aspect of the invention, an image capturing method based on a smart terminal is disclosed, which includes the following steps:

Presetting a shooting template in the smart terminal;

Calling the camera application of the smart terminal to acquire a captured image;

Extracting a photographic subject of the captured image and a shooting background;

Comparing the photographic subject and the shooting background of the captured image with the photographic subject and the shooting background of the shooting template;

According to the comparison result of the captured image and the shooting template, the user is prompted to perform shooting adjustment.

Preferably, the step of preset a shooting template in the smart terminal comprises:

Connect to a local and/or cloud database;

The shooting template is downloaded from the local and/or cloud database.

Preferably, the step of calling the camera application of the smart terminal to acquire a captured image comprises:

Calling a camera application of the smart terminal to open a camera of the smart terminal;

Acquiring the captured image captured by the camera viewfinder.

Preferably, according to the comparison result of the captured image and the shooting template, the step of prompting the user to perform the shooting adjustment comprises:

According to the comparison result of the captured image and the shooting template, the user is prompted to perform shooting adjustment in a dotted outline and/or a text manner.

Preferably, the image capturing method further comprises:

Setting an error threshold in the smart terminal;

Detecting an error value of the captured image and the shooting template when performing shooting adjustment;

Comparing an error value of the captured image with the shooting template with the error threshold;

When the error value of the captured image and the shooting template is less than the error threshold, the user is prompted to take the captured image.

In another aspect of the present invention, an image capture system based on a smart terminal is disclosed. The image capture system includes: a template setting module, an image acquisition module, an element extraction module, an image comparison module, and an image prompting module;

The template setting module presets a shooting template in the smart terminal;

The image acquisition module calls a camera application of the smart terminal to acquire a captured image;

The element extraction module is communicably connected to the image acquisition module, and extracts a photographic subject and a shooting background of the captured image;

The image comparison module is communicably connected to the template setting module and the element extraction module, and compares a shooting target and a shooting background of the captured image with a shooting target of the shooting template and a shooting background;

The image prompting module is communicably connected to the image matching module, and prompts the user to perform shooting adjustment according to a comparison result between the captured image and the shooting template.

Preferably, the template setting module includes: a database connection unit and a template download unit;

The database connection unit is connected to a local and/or cloud database;

The template download unit is communicably connected to the database connection unit, and downloads the shooting template from the local and/or cloud database.

Preferably, the image acquisition module includes: a camera activation unit and an image acquisition unit;

The camera activation unit invokes a camera application of the smart terminal to open a camera of the smart terminal;

The image acquisition unit is communicably connected to the camera activation unit to acquire a captured image captured by the camera viewfinder.

Preferably, the image prompting module prompts the user to perform shooting adjustment according to a comparison result of the captured image and the shooting template in a dotted outline and/or a text manner.

Preferably, the image capturing system further includes an image capturing module;

The image capturing module includes: an error setting unit, an error detecting unit, an error comparing unit, and an image capturing unit;

The error setting unit sets an error threshold in the smart terminal;

The error detecting unit detects an error value of the captured image and the shooting template when performing shooting adjustment;

The error comparison unit is communicably connected to the error setting unit and the error detecting unit, and compares the shooting An error value of the image and the shooting template and the error threshold;

The image capturing unit is in communication with the error comparison unit, and prompts the user to capture the captured image when the error value of the captured image and the shooting template is less than the error threshold.

After adopting the above technical solution, compared with the prior art, the following beneficial effects are obtained:

The image capturing method and the image capturing system provided by the present invention, wherein the image capturing method comprises the steps of: preset a shooting template; calling a camera application of the smart terminal to acquire a captured image; extracting a captured image of the captured image and shooting background The subject and the shooting background of the captured image are compared with the shooting target and the shooting background; and the user is prompted to perform shooting adjustment according to the comparison result between the captured image and the shooting template. The technical solution of the present invention, in the process of taking a photo or self-timer by the user, recommends a better shooting angle or shooting skill for the user, and is convenient for the user to adjust, and the perfect photo can be obtained without post-processing.

DRAWINGS

1 is a flow chart showing an image capturing method in accordance with a preferred embodiment of the present invention;

2 is a schematic flow chart of a template setting step of the image capturing method of FIG. 1;

3 is a schematic flow chart of an image acquisition step of the image capturing method of FIG. 1;

4 is a schematic flow chart of an image capturing step of the image capturing method of FIG. 3;

FIG. 5 is a schematic structural diagram of an image capturing system according to a preferred embodiment of the present invention; FIG.

6 is a schematic structural diagram of a template setting module of the image capturing system of FIG. 5;

7 is a schematic structural diagram of an image acquisition module of the image capture system of FIG. 5;

FIG. 8 is a schematic structural diagram of an image capturing module of the image capturing system of FIG. 7. FIG.

Reference mark:

100-image shooting system;

11-template setting module;

12-image acquisition module;

13-element extraction module;

14-image comparison module;

15-image prompt module;

16-image capture module.

Detailed ways

Advantages of the present invention are further explained below in conjunction with the accompanying drawings and specific embodiments.

Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. The following description refers to the same or similar elements in the different figures unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with aspects of the invention as detailed in the appended claims.

The terminology used in the present invention is for the purpose of describing particular embodiments, and is not intended to limit the invention. The singular forms "a", "the", "the" and "the" It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

It should be understood that although the terms first, second, etc. may be used in the present invention to describe various acquisition modules, they should not be limited to these terms. These terms are only used to distinguish acquisition modules of the same type from one another. For example, the first acquisition module may also be referred to as a second acquisition module without departing from the scope of the present invention. Similarly, the second acquisition module may also be referred to as a first acquisition module. Depending on the context, the words "when" can be interpreted as "when" or "if" or "in response to determining" as used herein.

In the description of the present invention, unless otherwise specified and limited, it should be noted that the term "connected" or the like should be understood broadly, and may be, for example, a mechanical connection or an electrical connection, or may be internal communication between two elements. They are directly connected, and may also be indirectly connected through an intermediate medium. For those skilled in the art, the specific meanings of the above terms may be understood according to specific situations.

In the following description, the use of suffixes such as "module" and "unit" for indicating elements is merely an explanation for facilitating the present invention, and does not have a specific meaning per se. Therefore, "module" and "unit" can be used in combination.

The image capturing method and image capturing system of the present invention can be applied to smart terminals, and the smart terminals can be implemented in various forms. For example, the smart terminal described in the present invention may include intelligence such as a mobile phone, a smart phone, a notebook computer, a PDA (Personal Digital Assistant), a PAD (Tablet), a PMP (Portable Multimedia Player), a navigation device, a smart watch, and the like. Terminals, as well as fixed terminals such as digital TVs, desktop computers, and the like. Hereinafter, the present invention will be described on the assumption that the terminal is a smart terminal and that the smart terminal is a smart phone. However, those skilled in the art will appreciate that configurations in accordance with embodiments of the present invention can be applied to fixed type terminals in addition to components that are specifically for mobile purposes. For convenience of description, the embodiments of the present invention are described by taking a smart phone as an example, and other application scenarios may be referred to each other.

Referring to FIG. 1 , an intelligent terminal-based image capturing method of the present invention includes the following steps:

S100: preset a shooting template in the smart terminal;

S200: Calling a camera application of the smart terminal to acquire a captured image;

S300: extracting a photographic subject of the captured image and a shooting background;

S400: comparing a photographic subject and a shooting background of the captured image with a photographic subject and a shooting background of the shooting template;

S500: prompt the user to perform shooting adjustment according to a comparison result between the captured image and the shooting template.

specifically:

-S100: preset a shooting template in the smart terminal;

In the image capturing method of the present invention, in the process of taking a photo or self-photographing by the user, a better shooting angle or shooting skill is recommended for the user, which is convenient for the user to adjust. To this end, it is necessary to set a shooting template in the camera of the smart phone in advance. The shooting template can be a general photography textbook, a photo gallery, etc., which includes recommended shooting angles and/or shooting techniques.

The shooting angle refers to the angle between the camera of the smartphone and the specific part of the subject or the subject when the user takes a photo with the smartphone camera, or the angle of the camera of the smartphone with the horizontal or vertical direction, or intelligence. The angle between the camera of the mobile phone and a reference object or a certain direction. For example, when the user uses the front camera to perform self-photographing, the face is taken as a specific part of the subject, and the shooting angle here may be an angle formed by the front camera of the smart phone and the face, and specifically, may be set as a smart phone. The front camera and the left face of the subject form an elevation angle of 45°, that is, the front camera of the smartphone is higher than the left face and has an angle of 45°, so that a petite and self-photographing is obtained; for example, the user When using the rear camera to take photos for others, the subject's legs are used as the specific part of the subject. The angle of the shot here can be the angle formed by the rear camera of the smartphone and the legs. Specifically, it can be set to smart. The angle between the rear camera of the mobile phone and the legs of the subject is 45°, so that a photo of the leg extension effect is obtained.

The shooting technique refers to the shooting line of sight between the subject and the camera of the smartphone, the shooting posture of the subject, the expression, the props used, the composition at the time of shooting, the light source at the time of shooting, when the user takes a picture with the smartphone camera, The style of shooting, etc. For example, when the user uses the front camera to perform self-photographing, the user is recommended to use different shooting postures, expressions, props, etc. according to different face types of the user. Specifically, the user's face is divided into: round face, long face, square face, elliptical face or Inverted triangle face (melon face), pear-shaped face, etc., the corresponding shooting skills are: round face: side 45 ° ~ 60 ° angle, use the props to cover a part of the face, highlighting the contour of the face, highlighting the three-dimensional sense; long face: Slightly lower head, look up, frontal; square face: three-quarter side or front side angle shooting, use side backlight; elliptical face or inverted triangle face (melon face): natural expression, snap; pear-shaped face: 45° angle Shoot and make full use of gestures.

Referring to FIG. 2, in a preferred embodiment, S100: the step of preset a shooting template in the smart terminal includes:

S110: connecting a local and/or cloud database;

S120: Download the shooting template from the local and/or cloud database.

First, a shooting template is preset in the smartphone. The shooting template can be downloaded by the user or the camera application can be downloaded by connecting to a local and/or cloud database.

Specifically, when connecting to the database, there are various ways, such as connecting to a local database, obtaining common photographic teaching materials and photography atlas through online downloading, manual collection, etc., and saving them to a local database, but for the rapid development of smart devices. In terms of times, when actually connecting to a local database created in this way, there are often the following problems. The photos taken by the users are various, and the photographic materials and photography atlas that the local database can provide are often very limited. It is impossible to fully cover all the images that may be taken by the user. It may not be saved in the local database, and the result of the comparison failure will follow. To this end, in this embodiment, a cloud database generated based on a network database of the network platform may be connected, and the shooting template is downloaded through a massive resource in the cloud database.

Further, the captured photographing template and the recommended shooting angle or shooting skill are filtered through the personalized recommendation technique, and then returned and recommended to the user. Personalized recommendation techniques can be based on web or P2P technology.

The personalized recommendation technology is mainly developed in the field of web page access. According to the technology used, it can be divided into two categories: one is a rule-based personalized recommendation system; the other is an information filtering system. Among them, the information filtering system can be subdivided into a content-based filtering system and a collaborative filtering system. The rule-based personalized recommendation system firstly estimates the content of interest that the user has not browsed or clicked according to the content of interest that the current user browses or clicks, and then according to the degree of support (or importance) of the rule, Sort and present this content to the user. The extraction of rules is usually done automatically by user or by mining techniques. The more rules there are, the higher the accuracy of the recommendation. The content-based filtering system implements recommending resources to users by calculating the similarity between user behavior characteristics and resource characteristics. The collaborative filtering system is similar to the content filtering based system, but compares the similarities between different users, finds several of the most similar neighbor users, and predicts the user's interests through neighboring users, thereby recommending resources to the users.

With the maturity of P2P (Peer to Peer) technology, P2P applications are increasingly favored by users. In P2P networks, no central node provides services, and the status of all nodes is equal. Each node is both serviced. The requesting party is also the provider of the service. P2P has changed the previous information sharing method based on C/S architecture. Users change from passive information receptors to active information sources, and users can conveniently contribute local resources through P2P system. At present, the personalized service based on P2P system is still in its infancy. Compared with the personalized service based on Web, the content of personalized service recommendation for P2P system also includes recommendation friends, and P2P system provides a kind of user through interest. Find ways to find interesting content.

-S200: calling a camera application of the smart terminal to acquire a captured image;

Referring to FIG. 3, in a preferred embodiment, S200: calling a camera application of the smart terminal to acquire a shooting The steps of the image include:

S210: Calling a camera application of the smart terminal to open a camera of the smart terminal;

S220: Acquire a captured image captured by the camera viewfinder.

In the image capturing method of the present invention, there are various methods for acquiring a captured image, for example, calling a photo album application of a smart phone, acquiring an image that has been completed in the photo album, or starting a camera of the smart phone, and acquiring the image before shooting. , the image captured in the camera finder frame.

-S300: extracting a subject of the captured image and a shooting background;

For example, the camera captured in the camera captures the captured image in the camera frame, and specifically includes, but is not limited to, identifying which camera is enabled by the smartphone, such as a front camera and a rear camera; and identifying the enabled camera mode. , such as camera mode, video mode, or normal mode, self-timer mode, panoramic mode, depth of field mode, delay mode, timing mode, slow motion mode, etc.; identify and extract the subject, shooting background, such as human body, items, and according to recognition The object of the subject, the background of the shooting, and the shooting mode further identify and extract the feature information of the subject, such as identifying the subject as the human body, the shooting mode is self-photographing, and further identifying and extracting the subject according to the proportion of the subject occupying the frame of the frame. The specific part is the face.

Digital image processing techniques, including image transformation, image enhancement techniques, etc., are employed for the recognition and extraction of the subject in the framing frame, the specific part of the subject, and the background of the subject.

Firstly, the conversion of analog image to digital image is realized by image transformation, which facilitates subsequent processing. The methods of image transformation mainly include Fourier transform, Walsh-Hadamard transform and discrete Kafner-Levy transform. Fourier transform is Fourier transform, including Fourier transform and Fourier inverse transform, Fourier transform is used to transform from real to frequency domain, and Fourier inverse transform is used to convert from frequency domain to real domain. Here, the two-dimensional Fourier transform is used to transform from the spatial domain to the transform domain. The transform domain image is the two-dimensional spectrum of the original spatial domain image. The DC term is proportional to the average of the original image brightness, and the high-frequency term is characterized. The intensity and direction of the edge changes in the image. In addition to the Fourier transform, the Walsh-Adamama transform and the discrete Kafner-Levy transform can also realize the conversion function from analog image to digital image. The implementation method of Walsh-Adamama transform is relative to Fu. The inner-leaf transformation is simpler, the computer has higher computing speed and the storage capacity is small; the discrete Kaffner-Levy transform is a transformation based on the statistical properties of the image, also known as the Hotlin transform or the eigenvector transform.

After the image is transformed from the real number domain to the frequency domain by Fourier transform, Walsh-Hadamard transform and discrete Kafner-Levy transform, there are different frequency components in the image. The image transformation is gentle at low frequency components in the frequency domain. For example, the same block of the same color in the original image is the same or similar and the color block without color mutation is transformed into the frequency domain and then is the low frequency component; the abrupt part or the edge part of the original image is in the frequency domain. The high-frequency components, for example, adjacent color patches having large color differences in the original image are converted to the frequency domain and their boundaries correspond to high-frequency components. Therefore, in extracting the phase When the subject is photographed, the specific part of the subject is photographed, and the background is photographed, the image enhancement technique is used to enhance the high-frequency component of the image, so that the outline of the image is clear, thereby facilitating extraction. Here, the image converted to the frequency domain is filtered by a high-pass filter, the low-frequency component is suppressed, the high-frequency component is passed, and the high-frequency component is enhanced, thereby enhancing the edge, and the subject, the specific part of the subject, and the background contour of the subject are captured. Clear and easy to extract.

After enhancing the subject, the specific part of the subject, and the outline of the background, you need to divide the captured image to extract the subject, the specific part of the subject, and the background. According to the brightness and color of pixels in the image, including gray threshold segmentation method, region growing segmentation method, edge segmentation method and histogram recursive segmentation method, image segmentation can be realized, thereby extracting the object and the object. The purpose of the specific part and the background.

-S400: comparing the photographic subject and the shooting background of the captured image with the photographic subject and the shooting background of the shooting template;

The extracted subject, the specific part of the subject, the shooting background and the feature template in the shooting template are search-matched, and by setting a threshold, when the similarity exceeds the threshold, the result of the matching is output. This process is divided into two categories: one is confirmation, one-to-one image comparison process, and the other is recognition, which is a one-to-many image matching process.

-S500: prompting the user to perform shooting adjustment according to the comparison result of the captured image and the shooting template.

In a preferred embodiment, according to the comparison result of the captured image and the shooting template, the user is prompted to perform shooting adjustment in a dotted outline and/or a text manner.

In the image capturing method of the present invention, after comparing the photographic subject, the specific part of the photographic subject, the shooting background, and the feature template in the shooting template, the difference between the captured image and the shooting template is displayed, by the outline of the dotted line and/or the bubble The text mode reminds the user to change the shooting angle or use the shooting technique to match the shooting template.

Referring to FIG. 4, in a preferred embodiment, the image capturing method further includes:

Setting an error threshold in the smart terminal;

Detecting an error value of the captured image and the shooting template when performing shooting adjustment;

Comparing an error value of the captured image with the shooting template with the error threshold;

When the error value of the captured image and the shooting template is less than the error threshold, the user is prompted to take the captured image.

In the image capturing method of the present invention, when the user changes the shooting angle or uses the shooting technique, and the matching degree with the shooting template reaches a certain threshold, that is, when the error value of the captured image and the shooting template is less than a preset error threshold, the prompt is displayed. The user takes a picture.

Referring to FIG. 5, the present invention also discloses an image capture system 100 based on a smart terminal. The image capture system 100 includes a template setting module 11 , an image acquisition module 12 , an element extraction module 13 , and an image comparison module 14 . Image prompting module 15;

The template setting module 11 presets a shooting template in the smart terminal;

The image acquisition module 12 calls a camera application of the smart terminal to acquire a captured image;

The element extraction module 13 is communicably connected to the image acquisition module 12, and extracts a photographic subject and a shooting background of the captured image;

The image comparison module 14 is communicably connected to the template setting module 11 and the element extraction module 13 to compare the object to be photographed and the shooting background with the object of the shooting template and the shooting background;

The image prompting module 15 is communicably connected to the image matching module 14, and prompts the user to perform shooting adjustment according to the comparison result between the captured image and the shooting template.

Referring to FIG. 6, in a preferred embodiment, the template setting module 11 includes: a database connection unit and a template download unit;

The database connection unit is connected to a local and/or cloud database;

The template download unit is communicably connected to the database connection unit, and downloads the shooting template from the local and/or cloud database.

Referring to FIG. 7, in a preferred embodiment, the image acquisition module 12 includes: a camera activation unit and an image acquisition unit;

The camera activation unit invokes a camera application of the smart terminal to open a camera of the smart terminal;

The image acquisition unit is communicably connected to the camera activation unit to acquire a captured image captured by the camera viewfinder.

In a preferred embodiment, the image prompting module 15 prompts the user to perform shooting adjustment according to the result of the comparison between the captured image and the shooting template in a dotted outline and/or a text manner.

Referring to FIG. 8, in a preferred embodiment, the image capturing system 100 further includes an image capturing module 16;

The image capturing module 16 includes: an error setting unit, an error detecting unit, an error comparing unit, and an image capturing unit;

The error setting unit sets an error threshold in the smart terminal;

The error detecting unit detects an error value of the captured image and the shooting template when performing shooting adjustment;

The error comparison unit is communicably connected to the error setting unit and the error detecting unit, and compares an error value of the captured image with the shooting template with the error threshold;

The image capturing unit is in communication with the error comparison unit, and prompts the user to capture the captured image when the error value of the captured image and the shooting template is less than the error threshold.

It should be noted that the embodiments of the present invention are preferred and are not intended to limit the invention in any way. Any person skilled in the art may use the above-disclosed technical contents to change or modify the same as the effective embodiments, but any modifications made to the above embodiments according to the technical essence of the present invention without departing from the technical solution of the present invention. Equivalent changes and modifications are still within the scope of the technical solutions of the present invention.

Claims (10)

An image capturing method based on a smart terminal, comprising the steps of: Presetting a shooting template in the smart terminal; Calling the camera application of the smart terminal to acquire a captured image; Extracting a photographic subject of the captured image and a shooting background; Comparing the photographic subject and the shooting background of the captured image with the photographic subject and the shooting background of the shooting template; According to the comparison result of the captured image and the shooting template, the user is prompted to perform shooting adjustment. The image capturing method according to claim 1, wherein The step of preset a shooting template in the smart terminal includes: Connect to a local and/or cloud database; The shooting template is downloaded from the local and/or cloud database. The image capturing method according to claim 1, wherein The step of acquiring a camera image by calling the camera application of the smart terminal includes: Calling a camera application of the smart terminal to open a camera of the smart terminal; Acquiring the captured image captured by the camera viewfinder. The image capturing method according to claim 3, wherein According to the comparison result of the captured image and the shooting template, the step of prompting the user to perform the shooting adjustment includes: According to the comparison result of the captured image and the shooting template, the user is prompted to perform shooting adjustment in a dotted outline and/or a text manner. The image capturing method according to claim 4, wherein The image capturing method further includes: Setting an error threshold in the smart terminal; Detecting an error value of the captured image and the shooting template when performing shooting adjustment; Comparing an error value of the captured image with the shooting template with the error threshold; When the error value of the captured image and the shooting template is less than the error threshold, the user is prompted to take the captured image. An image capturing system based on a smart terminal, characterized in that The image capturing system includes: a template setting module, an image acquisition module, an element extraction module, an image comparison module, and an image prompting module; The template setting module presets a shooting template in the smart terminal; The image acquisition module calls a camera application of the smart terminal to acquire a captured image; The element extraction module is communicably connected to the image acquisition module, and extracts a photographic subject and a shooting background of the captured image; The image comparison module is communicably connected to the template setting module and the element extraction module, and compares a shooting target and a shooting background of the captured image with a shooting target of the shooting template and a shooting background; The image prompting module is communicably connected to the image matching module, and prompts the user to perform shooting adjustment according to a comparison result between the captured image and the shooting template. The image capture system of claim 6 wherein: The template setting module includes: a database connection unit and a template download unit; The database connection unit is connected to a local and/or cloud database; The template download unit is communicably connected to the database connection unit, and downloads the shooting template from the local and/or cloud database. The image capture system of claim 6 wherein: The image acquisition module includes: a camera activation unit and an image acquisition unit; The camera activation unit invokes a camera application of the smart terminal to open a camera of the smart terminal; The image acquisition unit is communicably connected to the camera activation unit to acquire a captured image captured by the camera viewfinder. The image capture system of claim 8 wherein: The image prompting module prompts the user to perform shooting adjustment according to a result of the comparison between the captured image and the shooting template in a dotted outline and/or a text manner. The image capture system of claim 9 wherein: The image capture system further includes an image capture module; The image capturing module includes: an error setting unit, an error detecting unit, an error comparing unit, and an image capturing unit; The error setting unit sets an error threshold in the smart terminal; The error detecting unit detects an error value of the captured image and the shooting template when performing shooting adjustment; The error comparison unit is communicably connected to the error setting unit and the error detecting unit, and compares the captured image And an error value of the image and the error threshold; The image capturing unit is in communication with the error comparison unit, and prompts the user to capture the captured image when the error value of the captured image and the shooting template is less than the error threshold.

Images