CN115914817A - Image shooting method, terminal and storage medium - Google Patents

Image shooting method, terminal and storage medium Download PDF

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Publication number
CN115914817A
CN115914817A CN202111153098.0A CN202111153098A CN115914817A CN 115914817 A CN115914817 A CN 115914817A CN 202111153098 A CN202111153098 A CN 202111153098A CN 115914817 A CN115914817 A CN 115914817A
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China
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image
shooting
scene
module
aon
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CN202111153098.0A
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朱文波
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Priority to CN202111153098.0A priority Critical patent/CN115914817A/en
Publication of CN115914817A publication Critical patent/CN115914817A/en
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The embodiment of the application discloses an image shooting method, a terminal and a storage medium, wherein the terminal is provided with a front camera and a normally-open AON module supporting image acquisition and image recognition, and the method comprises the following steps: under the condition that a preview image of a target scene is acquired by using a front camera, performing scene recognition on the target scene by using an AON module to obtain scene information; adjusting shooting parameters of a front camera based on scene information; and under the condition that a shooting instruction is detected, shooting a target scene according to the adjusted shooting parameters by using the front-facing camera to obtain a scene image.

Description

Image shooting method, terminal and storage medium
Technical Field
The embodiment of the application relates to the technical field of image processing, in particular to an image shooting method, a terminal and a storage medium.
Background
With the continuous improvement of the shooting function of the mobile phone, the tablet and other terminals, the terminal self-shooting is an important way for the user to express.
At present, the self-photographing function of a terminal is generally based on automatic image photographing according to preset photographing parameters, and if a user needs to perform parameter adjustment before photographing, for example, a focus area needs to be adjusted, the user needs to manually control the function, which not only easily causes lens shake, but also affects the adjustment of user expression, so that the user has the problems of vague or unnatural expression, the time for adjusting the expression left by the user is short, and the photographing imaging effect is poor.
Disclosure of Invention
The embodiment of the application provides an image shooting method, a terminal and a storage medium, wherein the scene recognition capability of an AON module is utilized to automatically perform differentiation control on a front camera in advance, so that the shooting imaging effect is improved.
The technical scheme of the embodiment of the application is realized as follows:
the embodiment of the application provides an image shooting method, which is applied to a terminal, wherein the terminal is provided with a front camera and a normally open AON module supporting image acquisition and image identification, and the method comprises the following steps:
under the condition that the preview image of the target scene is acquired by the front-facing camera, scene recognition is carried out on the target scene by the AON module to obtain scene information;
adjusting shooting parameters of the front camera based on the scene information;
and under the condition that a shooting instruction is detected, shooting the target scene according to the adjusted shooting parameters by using the front camera to obtain a scene image.
In the above method, the performing scene recognition on the target scene by using the AON module to obtain scene information of the target scene includes:
acquiring a real-time image of the target scene by using the AON module, and performing scene identification according to the real-time image to obtain scene information;
or, using the AON module to perform scene recognition according to the preview image to obtain the scene information.
In the above method, before the step of shooting the target scene according to the adjusted shooting parameters by using the front camera and obtaining a scene image when the shooting instruction is detected, the method further includes:
utilizing the AON module to identify the image content of the image to be identified; the image to be identified is a real-time image of the target scene acquired by the AON module, or the preview image;
and determining that the shooting instruction is detected when preset content indicating that shooting is triggered is identified from the image to be identified.
In the above method, the identifying image content of the image to be identified by using the AON module includes:
performing gesture recognition on the image to be recognized by utilizing the AON module;
correspondingly, when preset content indicating that shooting is triggered is identified from the image to be identified, determining that the shooting instruction is detected comprises:
and determining that the shooting instruction is detected when a preset shooting gesture indicating that shooting is triggered is recognized from the image to be recognized.
In the above method, the scene information includes: focusing the object, the method further comprising:
and under the condition that a preset focusing gesture indicating that focusing is triggered is identified from the image to be identified, focusing the focusing object by using the front camera.
The embodiment of the application provides a terminal, disposes leading camera to and normally open AON module of support image acquisition and image recognition includes:
the recognition module is used for carrying out scene recognition on the target scene by utilizing the AON module under the condition that the preview image of the target scene is acquired by utilizing the front camera to obtain scene information;
the adjusting module is used for adjusting the shooting parameters of the front camera based on the scene information;
and the shooting module is used for shooting the target scene according to the adjusted shooting parameters by using the front camera under the condition of detecting the shooting instruction to obtain a scene image.
In the above terminal, the identifying module is specifically configured to collect a real-time image of the target scene by using the AON module, and perform scene identification according to the real-time image to obtain the scene information, or perform scene identification according to the preview image to obtain the scene information.
In the terminal, the identification module is further configured to perform image content identification on an image to be identified by using the AON module; the image to be identified is a real-time image of the target scene acquired by the AON module, or the preview image;
the shooting module is specifically configured to determine that the shooting instruction is detected when the recognition module recognizes preset content indicating triggering of shooting from the image to be recognized by using the AON module.
In the terminal, the recognition module is specifically configured to perform gesture recognition on the image to be recognized by using the AON module;
the shooting module is specifically configured to determine that the shooting instruction is detected when the recognition module recognizes a preset shooting gesture indicating triggering of shooting from the image to be recognized.
In the above terminal, the scene information includes: an object is focused on the object by the focusing means,
the shooting module is further configured to focus the focusing object by using the front camera when the recognition module recognizes a preset focusing gesture indicating that focusing is triggered from the image to be recognized.
An embodiment of the present application provides a terminal, including: a processor, a memory, and a communication bus;
the communication bus is used for realizing communication connection between the processor and the memory;
the processor is used for executing one or more programs stored by the processor so as to realize the image shooting method.
An embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, which, when executed by a processor, implements the above-described image capturing method.
The embodiment of the application provides an image shooting method, a terminal and a storage medium, wherein the terminal is provided with a front camera and a normally-open AON module supporting image acquisition and image recognition, and the method comprises the following steps: under the condition that a preview image of a target scene is acquired by using a front camera, performing scene recognition on the target scene by using an AON module to obtain scene information; adjusting shooting parameters of a front camera based on scene information; and under the condition that a shooting instruction is detected, shooting a target scene according to the adjusted shooting parameters by using the front-facing camera to obtain a scene image. According to the technical scheme, the scene recognition capability of the AON module is utilized, and differentiation control is automatically performed on the front camera in advance, so that the shooting imaging effect is improved.
Drawings
Fig. 1 is a schematic flowchart of an image capturing method according to an embodiment of the present disclosure;
fig. 2 is a first schematic diagram illustrating an exemplary preset shooting gesture provided in an embodiment of the present application;
fig. 3 is a schematic diagram of an exemplary preset shooting gesture provided in the embodiment of the present application;
FIG. 4 is a schematic diagram illustrating an exemplary image capturing process provided by an embodiment of the present application;
fig. 5 is a first schematic structural diagram of a terminal according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The following detailed description will specifically explain how the technical solutions of the present application and the technical solutions of the present application solve the above technical problems by embodiments and with reference to the accompanying drawings. The following embodiments may be combined with each other and may not be described in detail in some embodiments for the same or similar concepts or processes.
The technical means described in the embodiments of the present application may be arbitrarily combined without conflict.
The embodiment of the application provides an image shooting method, which is applied to a terminal, wherein the terminal is provided with a front camera and a normally open AON module supporting image acquisition and image recognition. The specific type of the terminal is not limited in this embodiment, and may be any user equipment, for example, a smart phone, a personal computer, a notebook computer, a tablet computer, a portable wearable device, and the like.
Fig. 1 is a schematic flowchart of an image capturing method according to an embodiment of the present application. As shown in fig. 1, in an embodiment of the present application, an image capturing method mainly includes the steps of:
s101, under the condition that a preview image of a target scene is collected by a front camera, scene recognition is carried out on the target scene by an AON module to obtain scene information.
In the embodiment of the application, the terminal is configured with the front camera and the AON module, the preview image of the target scene can be acquired by the front camera, and during the period, the AON module is used for carrying out scene recognition on the target scene, so that scene information is obtained.
It should be noted that, in the embodiment of the present application, the target scene may be a scene that a user needs to take a self-timer, and a specific target scene may be set according to an actual requirement, which is not limited in the embodiment of the present application.
Specifically, in an embodiment of the present application, the identifying, by the terminal, the scene information of the target scene by using the AON module includes: acquiring a real-time image of a target scene by using an AON module, and carrying out scene identification according to the real-time image to obtain scene information; or, using the AON module to perform scene recognition according to the preview image to obtain scene information.
It should be noted that, in the embodiment of the present application, the AON module may include an image sensor and an algorithm processing module, where the image sensor may be configured to acquire a real-time image of a target scene, and the algorithm processing module further performs scene identification according to the real-time image to obtain scene information. In addition, the terminal can also control an image sensor of the AON module to be closed, and the preview image collected by the front camera is synchronously sent to an algorithm processing module of the AON module for scene recognition to obtain scene information, so that the power consumption of the terminal can be effectively reduced. The specific AON module identifies scene information of a target scene, and the source of the applied image data can be set according to actual requirements and application scenes, and the embodiment of the application is not limited.
It should be noted that, in the embodiment of the present application, the AON module identifies the obtained scene information according to the real-time image acquired by itself or the preview image acquired by the front camera, where the scene information may include information of current environmental parameters of the target scene, the number of imaging people, the focusing object, and the like, where the environmental parameters may include environmental brightness, light uniformity, and the like, and the embodiment of the present application is not limited.
And S102, adjusting shooting parameters of the front camera based on the scene information.
In the embodiment of the application, the terminal can adjust the shooting parameters of the front camera based on the scene information under the condition that the AON module is used for acquiring the scene information of the target scene.
It should be noted that, in the embodiment of the present application, when the terminal acquires the preview image of the target scene by using the front-facing camera, that is, the user has operated the terminal to enable the terminal to start the function of front-facing shooting, but the terminal has not started to shoot the target scene yet, so that the terminal may adjust the shooting parameters of the front-facing camera based on the obtained scene information, and actually adjust the shooting parameters to match the target scene.
It should be noted that, in the embodiment of the present application, the terminal adjusts the shooting parameters of the front camera according to the scene information, including but not limited to: the focusing speed, the region of interest, and the like are adjusted, and specific adjustment rules and adjustment modes can be preset according to actual requirements and application scenarios, which are not limited in the embodiments of the present application.
And S103, under the condition that the shooting instruction is detected, shooting the target scene according to the adjusted shooting parameters by using the front camera to obtain a scene image.
In the embodiment of the application, when the terminal detects the shooting instruction, the front camera can be used for shooting the target scene according to the adjusted shooting parameters to obtain the scene image.
It can be understood that, in the embodiment of the present application, as described in step S102, the terminal adjusts the shooting parameters of the front-facing camera, and therefore, when a shooting instruction is detected and shooting is triggered, the front-facing camera is used to perform image acquisition according to the adjusted shooting parameters, so as to obtain a scene image of a target scene.
It can be understood that, in the embodiment of the application, since the terminal adjusts the shooting parameters of the front-facing camera in advance according to the scene information, and the adjusted shooting parameters are more adaptive to the target scene, the front-facing camera is utilized to perform image acquisition according to the adjusted shooting parameters, and the obtained scene image has a better image effect.
It should be noted that, in the embodiment of the present application, a user may perform a touch operation on the terminal, so as to send a shooting instruction to the terminal, and the terminal may detect the shooting instruction, so as to trigger the front camera to shoot, and in addition, the detection of the shooting instruction may also be implemented in an automatic identification manner, which is described in detail below.
In the embodiment of the application, when the terminal detects a shooting instruction, the terminal uses the front camera to shoot a target scene according to the adjusted shooting parameters, and before obtaining a scene image, the following steps may be further performed: utilizing an AON module to identify image content of an image to be identified; the image to be identified is a real-time image of a target scene acquired by using the AON module, or a preview image; in the case where a preset content indicating that shooting is triggered is recognized from the image to be recognized, it is determined that a shooting instruction is detected.
It should be noted that, in the embodiment of the present application, a user may set, in advance, preset content in the terminal, which indicates triggering of shooting, for example, a specific gesture, action, posture, and the like, and the specific preset content is not limited in the embodiment of the present application.
Specifically, in the embodiment of the present application, the terminal performs image content identification on an image to be identified by using an AON module, including: performing gesture recognition on an image to be recognized by using the AON module; correspondingly, the terminal determines that the shooting instruction is detected when the preset content indicating triggering of shooting is identified from the image to be identified, and the method comprises the following steps: in the case where a preset photographing gesture indicating triggering of photographing is recognized from the image to be recognized, it is determined that a photographing instruction is detected.
It should be noted that, in the embodiment of the present application, the terminal may utilize the AON module to perform image content identification on an image to be identified, specifically, various gestures may be identified, so as to compare with a preset shooting gesture triggered by a set instruction for shooting, and if a gesture consistent with the preset shooting gesture exists, it is determined that a shooting instruction is detected, so as to trigger the front-facing camera to shoot.
Fig. 2 is a schematic diagram of an exemplary preset shooting gesture provided in an embodiment of the present application. As shown in fig. 2, in the embodiment of the application, when the terminal recognizes the preset shooting gesture from the image to be recognized by using the AON module, it may be determined that a shooting instruction is detected, so as to trigger the front-facing camera to shoot.
It can be understood that, in the embodiment of this application, the terminal is through utilizing the AON module to detect predetermineeing the shooting gesture, can trigger leading camera after detecting predetermineeing the shooting gesture and shoot for whole shooting process no longer needs user manual intervention, directly just can control the auto heterodyne through predetermineeing the shooting gesture than out, thereby has improved the flexibility of shooing, guarantees the effect of shooing.
It should be noted that, in the embodiment of the present application, the scenario information includes: focusing on the object, the terminal may further perform the steps of: and under the condition that a preset focusing gesture indicating that focusing is triggered is recognized from the image to be recognized, focusing the focusing object by using the front camera.
Fig. 3 is a schematic diagram of an exemplary preset focusing gesture provided in an embodiment of the present application. As shown in fig. 3, in the embodiment of the application, when the terminal recognizes the preset focusing gesture from the image to be recognized by using the AON module, the terminal may focus on the focusing object by using the front-facing camera.
It can be understood that, in the embodiment of the application, the terminal utilizes the AON module to recognize the preset focusing gesture from the image to be recognized, so that the focusing object recognized by the AON module can be combined when the preset focusing gesture is recognized, the focusing object is used as the object to drive the front camera to perform focusing processing, and the automatic focusing function is not directly used, so that the focusing effect can meet the user requirement, and the imaging effect of subsequent shooting is improved.
It should be noted that, in the embodiment of the present application, when the terminal performs shooting control on the front-facing camera through different gestures, the gesture of the user in the target scene may be recognized through the AON module first. After the recognition result accords with a shooting strategy set by a user, cross-process communication can be carried out through AON service and camera application of the system to give a shooting instruction, and then the system camera calls a corresponding shooting interface to drive a front camera to carry out shooting operation.
It should be noted that, in the embodiment of the present application, the terminal may also automatically control shooting through its own algorithm policy, and may shoot one or 3 to 5 in advance, so as to obtain a better shooting moment.
Fig. 4 is a schematic diagram of an exemplary image capturing process provided in an embodiment of the present application. As shown in fig. 4, the terminal specifically executes the following steps:
s1, keeping the AON module to normally work;
s2, opening a system camera;
s3, setting a self-photographing control gesture according to the use preference and habit of the user (a plurality of gestures can be set to control different stages of photographing, such as focusing and triggering a shutter);
s4, the front-facing camera starts to output a preview image of the target scene;
s5, the AON module synchronously identifies the current target scene to obtain scene information, and in addition, gesture identification is carried out on a real-time image acquired by the AON module or a preview image output by a front camera;
s6, adjusting shooting parameters of the front camera based on the scene information, wherein the parameters include but are not limited to: adjusting control parameters and switching a proper shooting mode;
s7, when a preset shooting gesture is recognized, triggering shooting operation;
and S8, performing post-photographing processing and outputting the processed scene image.
The embodiment of the application provides an image shooting method, which is applied to a terminal, wherein the terminal is provided with a front camera and a normally-open AON module supporting image acquisition and image identification, and the method comprises the following steps: under the condition that a preview image of a target scene is acquired by using a front camera, performing scene recognition on the target scene by using an AON module to obtain scene information; adjusting shooting parameters of a front camera based on scene information; and under the condition that the shooting instruction is detected, shooting the target scene according to the adjusted shooting parameters by using the front-facing camera to obtain a scene image. According to the image shooting method provided by the embodiment of the application, the scene recognition capability of the AON module is utilized, and the front camera is automatically controlled in a differentiation mode in advance, so that the shooting imaging effect is improved.
The embodiment of the application provides a terminal. Fig. 5 is a schematic structural diagram of a terminal according to an embodiment of the present application. As shown in fig. 5, in the embodiment of the present application, the terminal is configured with a front camera, and a normally open AON module supporting image acquisition and image recognition, including:
the recognition module 501 is configured to perform scene recognition on a target scene by using the AON module to obtain scene information, when a preview image of the target scene is acquired by using the front-facing camera;
an adjusting module 502, configured to adjust a shooting parameter of the front-facing camera based on the scene information;
and a shooting module 503, configured to shoot the target scene according to the adjusted shooting parameters by using the front-facing camera when a shooting instruction is detected, so as to obtain a scene image.
In an embodiment of the present application, the identifying module 501 is specifically configured to acquire a real-time image of the target scene by using the AON module, and perform scene identification according to the real-time image to obtain the scene information; or, using the AON module to perform scene recognition according to the preview image to obtain the scene information.
In an embodiment of the present application, the identifying module 501 is further configured to identify, by using the AON module, image content of an image to be identified; the image to be identified is a real-time image of the target scene acquired by the AON module, or the preview image;
the shooting module 503 is further configured to determine that the shooting instruction is detected when the recognition module 501 recognizes preset content indicating that shooting is triggered from the image to be recognized.
In an embodiment of the present application, the recognition module 501 is specifically configured to perform gesture recognition on the image to be recognized by using the AON module;
the shooting module 503 is specifically configured to determine that the shooting instruction is detected when the recognition module 501 recognizes a preset shooting gesture indicating that shooting is triggered from the image to be recognized.
In an embodiment of the present application, the context information includes: the subject is focused on the object to be focused,
the shooting module 503 is further configured to focus on the focusing object by using the front camera when the recognition module 501 recognizes a preset focusing gesture indicating that focusing is triggered from the image to be recognized.
Fig. 6 is a schematic structural diagram of a terminal according to an embodiment of the present application. As shown in fig. 6, in an embodiment of the present application, a terminal includes: a processor 601, memory 602, and a communication bus 603;
the communication bus 603 is used for realizing communication connection between the processor 601 and the memory 602;
the processor 601 is configured to execute one or more programs stored in the processor 602 to implement the image capturing method.
The embodiment of the application provides a terminal, which is used for carrying out scene recognition on a target scene by using an AON module under the condition that a front-facing camera is used for acquiring a preview image of the target scene to obtain scene information; adjusting shooting parameters of a front camera based on scene information; and under the condition that a shooting instruction is detected, shooting a target scene according to the adjusted shooting parameters by using the front-facing camera to obtain a scene image. The terminal provided by the embodiment of the application utilizes the scene recognition capability of the AON module to automatically perform differentiation control on the front camera in advance, so that the shooting imaging effect is improved.
An embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, which, when executed by a processor, implements the above-described image capturing method. The computer-readable storage medium may be a volatile Memory (volatile Memory), such as a Random-Access Memory (RAM); or a non-volatile Memory (non-volatile Memory), such as a Read-Only Memory (ROM), a flash Memory (flash Memory), a Hard Disk (Hard Disk Drive, HDD) or a Solid-State Drive (SSD); or a respective device comprising one or any combination of the above memories, such as a mobile phone, a computer, a tablet device, a personal digital assistant
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application 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, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of implementations of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks in the flowchart and/or block diagram block or blocks.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. An image shooting method is applied to a terminal, the terminal is provided with a front camera and a normally open AON module supporting image acquisition and image recognition, and the method comprises the following steps:
under the condition that the preview image of the target scene is acquired by the front-facing camera, scene recognition is carried out on the target scene by the AON module to obtain scene information;
adjusting shooting parameters of the front camera based on the scene information;
and under the condition that a shooting instruction is detected, shooting the target scene by using the front camera according to the adjusted shooting parameters to obtain a scene image.
2. The method according to claim 1, wherein the performing scene recognition on the target scene by using the AON module to obtain scene information of the target scene comprises:
acquiring a real-time image of the target scene by using the AON module, and carrying out scene identification according to the real-time image to obtain scene information;
or, using the AON module to perform scene recognition according to the preview image to obtain the scene information.
3. The method according to claim 1, wherein before the capturing the target scene according to the adjusted capturing parameters by using the front-facing camera in the case that the capturing instruction is detected, and obtaining the scene image, the method further comprises:
utilizing the AON module to identify the image content of the image to be identified; the image to be identified is a real-time image of the target scene acquired by the AON module, or the preview image;
and determining that the shooting instruction is detected when preset content indicating that shooting is triggered is identified from the image to be identified.
4. The method according to claim 3, wherein the performing, by using the AON module, image content recognition on an image to be recognized comprises:
performing gesture recognition on the image to be recognized by utilizing the AON module;
correspondingly, when preset content indicating that shooting is triggered is identified from the image to be identified, determining that the shooting instruction is detected comprises:
and determining that the shooting instruction is detected when a preset shooting gesture indicating that shooting is triggered is recognized from the image to be recognized.
5. The method of claim 4, wherein the context information comprises: focusing the object, the method further comprising:
and under the condition that a preset focusing gesture indicating that focusing is triggered is identified from the image to be identified, focusing the focusing object by using the front camera.
6. The utility model provides a terminal, its characterized in that disposes leading camera to and support image acquisition and image recognition's normally open AON module, include:
the recognition module is used for carrying out scene recognition on the target scene by utilizing the AON module under the condition that the preview image of the target scene is acquired by utilizing the front camera to obtain scene information;
the adjusting module is used for adjusting the shooting parameters of the front camera based on the scene information;
and the shooting module is used for shooting the target scene according to the adjusted shooting parameters by using the front camera under the condition of detecting the shooting instruction to obtain a scene image.
7. The terminal of claim 6,
the identification module is specifically configured to acquire a real-time image of the target scene by using the AON module, and perform scene identification according to the real-time image to obtain the scene information, or perform scene identification according to the preview image to obtain the scene information.
8. The terminal of claim 6,
the identification module is also used for identifying the image content of the image to be identified by utilizing the AON module; the image to be identified is a real-time image of the target scene acquired by the AON module, or the preview image;
the shooting module is specifically configured to determine that the shooting instruction is detected when the recognition module recognizes preset content indicating triggering of shooting from the image to be recognized by using the AON module.
9. A terminal, comprising: a processor, a memory, and a communication bus;
the communication bus is used for realizing communication connection between the processor and the memory;
the processor, configured to execute one or more programs stored by the processor to implement the image capturing method of any one of claims 1 to 5.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out an image capturing method according to any one of claims 1 to 5.
CN202111153098.0A 2021-09-29 2021-09-29 Image shooting method, terminal and storage medium Pending CN115914817A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117676331A (en) * 2024-02-01 2024-03-08 荣耀终端有限公司 Automatic focusing method and electronic equipment

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117676331A (en) * 2024-02-01 2024-03-08 荣耀终端有限公司 Automatic focusing method and electronic equipment

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