CN112712564A - Camera shooting method and device, storage medium and electronic device - Google Patents
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
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- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/02—Constructional features of telephone sets
- H04M1/0202—Portable telephone sets, e.g. cordless phones, mobile phones or bar type handsets
- H04M1/026—Details of the structure or mounting of specific components
- H04M1/0264—Details of the structure or mounting of specific components for a camera module assembly
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Abstract
The application discloses a shooting method and device of a camera, a storage medium and an electronic device. Wherein, the method comprises the following steps: acquiring a target type of a target scene to be shot by a target camera; performing parameter configuration on the target camera according to the target type; the target camera after being configured is used for shooting, the parameter ranges set by the person pictures in different scenes are counted in a classified mode, and then corresponding parameters are automatically set in the person pictures to be shot, so that the purpose of intellectualization is achieved, and the technical problem that the shooting quality of the camera in the related technology is low can be solved.
Description
Technical Field
The present application relates to the field of photography, and in particular, to a method and an apparatus for photographing a camera, a storage medium, and an electronic apparatus.
Background
Photographing is also called photographing, photography, and generally refers to a process of exposing a photosensitive medium to light reflected by an object, and a mechanical camera or a digital camera is generally used. With the popularization of smart phones, the use of mobile phones to take pictures and record life is becoming more popular.
At present, the mobile phone has more and more mature photographing function, the photographing function of the mobile phone is more and more comprehensive, the requirement of people on photographing the mobile phone is higher and higher, clear photos can be shot, and intelligent photographing capable of distinguishing style scenes is more hopeful.
Aiming at the problem of low shooting quality of the camera, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the application provides a shooting method and device of a camera, a storage medium and an electronic device, and aims to at least solve the technical problem that the shooting quality of the camera in the related art is low.
According to an aspect of an embodiment of the present application, there is provided a photographing method of a camera, including: acquiring a target type of a target scene to be shot by a target camera; performing parameter configuration on the target camera according to the target type; and shooting by using the configured target camera.
Optionally, when parameter configuration is performed on the target camera according to the target type, searching for a camera parameter matched with the target type from multiple pre-stored camera parameters, and performing parameter configuration on the target camera by using the camera parameter matched with the target type, wherein each camera parameter in the multiple camera parameters is matched with one scene type; or searching a target photo matched with the target scene from a plurality of pre-stored photos, and performing parameter configuration on the target camera by using the camera parameters of the target photo.
Optionally, when a target photo matched with the target scene is searched from a plurality of pre-stored photos and the parameter configuration is performed on the target camera by using the camera parameters of the target photo, a plurality of target photos matched with the target scene are searched from the plurality of pre-stored photos; acquiring parameter configurations of the multiple target photos, and averaging parameter values of the parameter configurations of the multiple target photos in the same dimension to obtain camera parameters matched with the target types; and performing parameter configuration on the target camera by using the camera parameters matched with the target type.
Optionally, before searching for camera parameters matching the target type from pre-stored multiple types of camera parameters, classifying the taken pictures of the target camera; and obtaining multiple types of camera parameters by performing parameter analysis on each type of shot pictures.
Optionally, when the taken photos of the target camera are classified, performing face recognition on all the taken photos, and recognizing the taken photos with faces; and classifying the shot photos with the human faces according to the types of the scenes to obtain multiple types of shot photos.
Optionally, when parameters of multiple types of cameras are obtained by performing parameter analysis on each type of shot pictures, acquiring parameter configuration of all shot pictures of each type for each type of shot pictures; and averaging parameter values of parameter configuration of all the taken photos in the same dimension to obtain camera parameters matched with the type.
Optionally, when an object type of an object scene to be captured by an object camera is obtained, the object type is identified from an image of the object scene captured by the object camera.
According to another aspect of the embodiments of the present application, there is also provided a photographing apparatus of a camera, including: the device comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring a target type of a target scene to be shot by a target camera; the configuration unit is used for carrying out parameter configuration on the target camera according to the target type; and the shooting unit is used for shooting by using the configured target camera.
Optionally, the configuration unit is further configured to, when performing parameter configuration on the target camera according to the target type, search for a camera parameter matching the target type from multiple pre-stored camera parameters, and perform parameter configuration on the target camera by using the camera parameter matching the target type, where each camera parameter in the multiple camera parameters matches one scene type; or searching a target photo matched with the target scene from a plurality of pre-stored photos, and performing parameter configuration on the target camera by using the camera parameters of the target photo.
Optionally, the configuration unit is further configured to search a plurality of target photos matched with the target scene from a plurality of pre-stored photos, and when the parameter configuration is performed on the target camera by using the camera parameters of the target photos, search a plurality of target photos matched with the target scene from the plurality of pre-stored photos; acquiring parameter configurations of the multiple target photos, and averaging parameter values of the parameter configurations of the multiple target photos in the same dimension to obtain camera parameters matched with the target types; and performing parameter configuration on the target camera by using the camera parameters matched with the target type.
Optionally, the configuration unit is further configured to classify the taken pictures of the target camera before searching for camera parameters matching the target type from among pre-stored multiple types of camera parameters; and obtaining multiple types of camera parameters by performing parameter analysis on each type of shot pictures.
Optionally, the configuration unit is further configured to perform face recognition on all the taken photos when the taken photos of the target camera are classified, and identify the taken photos with faces; and classifying the shot photos with the human faces according to the types of the scenes to obtain multiple types of shot photos.
Optionally, the configuration unit is further configured to, when parameters of multiple types of cameras are obtained by performing parameter analysis on each type of captured photos, obtain parameter configurations of all captured photos in each type for each type of captured photos; and averaging parameter values of parameter configuration of all the taken photos in the same dimension to obtain camera parameters matched with the type.
Optionally, the acquiring unit is further configured to, when acquiring a target type of a target scene to be captured by the target camera, identify the target type from an image of the target scene captured by the target camera.
According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program which, when executed, performs the above-described method.
According to another aspect of the embodiments of the present application, there is also provided an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the above method through the computer program.
In the embodiment of the application, the target type of a target scene to be shot by a target camera is obtained; performing parameter configuration on the target camera according to the target type; the target camera after being configured is used for shooting, the parameter ranges set by the person pictures in different scenes are counted in a classified mode, and then corresponding parameters are automatically set in the person pictures to be shot, so that the purpose of intellectualization is achieved, and the technical problem that the shooting quality of the camera in the related technology is low can be solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flowchart of an alternative shooting method of a camera according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an alternative camera shooting scenario according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an alternative camera capture device according to an embodiment of the present application; and
fig. 4 is a block diagram of a terminal according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
At present, the mobile phone is more and more mature in photographing function, the photographing function of the mobile phone is more and more comprehensive, people have higher and higher requirements for photographing the mobile phone, clear photos can be photographed, higher requirements are for the photographed pictures, the mobile phone can be intelligently classified, the user photographing preference can be intelligently counted, the parameters of the mobile phone are automatically and intelligently set, and the photos preferred by the user are photographed.
According to the preference of the user, the photographed content can be classified into various styles such as people, scenery, natural scenery and buildings, the pictures of each style can be marked, and the classification can be carried out as a classification method. Whether the human face is recognized or not can be used as a reference value for the classification of the people, the reference value can be used as a mark of a picture of the people, then the picture of the people is classified, the parameter setting condition of the picture of the people shot in the early stage is counted, then relevant parameters can be automatically set when the picture of the people is shot, the set relevant parameters are a range of values set according to the preset statistical parameters, and then a close parameter value is taken for setting.
According to an aspect of embodiments of the present application, there is provided an embodiment of a photographing method of a camera. Fig. 1 is a flowchart of an alternative shooting method of a camera according to an embodiment of the present application, and as shown in fig. 1, the method may include the following steps:
in step S1, the object type of the object scene to be shot by the object camera is acquired.
Optionally, when acquiring a target type of a target scene to be captured by a target camera, the target type is identified from an image of the target scene captured by the target camera, for example, a human face is identified in a viewing area of the target camera and the target scene is indoors.
And step S2, configuring parameters of the target camera according to the target type.
Optionally, when parameter configuration is performed on the target camera according to the target type, searching for a camera parameter matched with the target type from multiple pre-stored camera parameters, and performing parameter configuration on the target camera by using the camera parameter matched with the target type, wherein each camera parameter in the multiple camera parameters is matched with one scene type; or searching a target photo matched with the target scene from a plurality of pre-stored photos, and performing parameter configuration on the target camera by using the camera parameters of the target photo.
Optionally, when a target photo matched with the target scene is searched from a plurality of pre-stored photos and the parameter configuration is performed on the target camera by using the camera parameters of the target photo, a plurality of target photos matched with the target scene are searched from the plurality of pre-stored photos; acquiring parameter configurations of the multiple target photos, and averaging parameter values of the parameter configurations of the multiple target photos in the same dimension to obtain camera parameters matched with the target types; and performing parameter configuration on the target camera by using the camera parameters matched with the target type.
Optionally, before searching for camera parameters matching the target type from pre-stored multiple types of camera parameters, classifying the taken pictures of the target camera; and obtaining multiple types of camera parameters by performing parameter analysis on each type of shot pictures.
Optionally, when the taken photos of the target camera are classified, performing face recognition on all the taken photos, and recognizing the taken photos with faces; and classifying the shot photos with the human faces according to the types of the scenes to obtain multiple types of shot photos.
Optionally, when parameters of multiple types of cameras are obtained by performing parameter analysis on each type of shot pictures, acquiring parameter configuration of all shot pictures of each type for each type of shot pictures; and averaging parameter values of parameter configuration of all the taken photos in the same dimension to obtain camera parameters matched with the type.
And step S3, shooting by using the configured target camera.
Through the steps, the target type of the target scene to be shot by the target camera is obtained; performing parameter configuration on the target camera according to the target type; the target camera after being configured is used for shooting, the parameter ranges set by the person pictures in different scenes are counted in a classified mode, and then corresponding parameters are automatically set in the person pictures to be shot, so that the purpose of intellectualization is achieved, and the technical problem that the shooting quality of the camera in the related technology is low can be solved.
In the scheme, the marking can be carried out according to the shot figure picture, and a field is added in the stored field to distinguish whether the figure picture is the figure picture or not in the process of shooting and storing by identifying the face of a person as a reference value; according to the statistical parameters of the photographed character pictures, intelligently classifying the parameter ranges of the character picture pictures in the corresponding scenes, then providing a parameter value in the corresponding range, and finally setting the parameters. As an alternative example, as shown in fig. 2, the following further details the technical solution of the present application with reference to specific embodiments.
In step S1, a picture of a person is taken, and a picture of a person whose face can be recognized is taken.
In step S2, the captured person picture is marked.
Whether the method of face recognition is provided according to a platform or an algorithm, whether the person is a character picture or not can be judged by judging whether the face is recognized in the preview or not, then a mark of the character image is given, whether the person is the character picture or not is marked by a field in the process of photographing and storing by a user, and then the attribute is stored in the storage of the photograph, so that the character picture can be managed according to whether the person is the field of the character picture or not.
Parameters are intelligently set for the shot figure pictures by marking the figure pictures and then according to the parameter setting of the figure pictures in a specific scene.
In step S3, the character pictures in different scenes are classified.
It is not enough to intelligently manage the pictures of the people and then intelligently set a preference parameter for the preview pictures of the people, which are located at the back, because the range of the parameter value is changed greatly due to the change of the surrounding environment or the difference of the scenes. Therefore, it is also necessary to classify scenes, for example, the change of parameters is different between a clear day and a cloudy day, and it can be determined according to the ISO value that the parameters of people set in one scene, such as an indoor scene and an outdoor scene, are different, so it can be determined according to conditions given by different scenes to classify whether the scenes are indoor or outdoor, and are a clear day or a cloudy day, and then in the process of photographing and storing, a field of one scene is added, and if the scene is not a person picture, the scene is set to be empty, and if the scene is a person picture, the preference setting of the person picture can be obtained according to the two fields. The intersection is taken according to the classification of different scenes and the character images, so that the parameter preference of the character images of the user can be intelligently stored.
The process of steps S3 to S1 is that the user first inquires about the preference settings of the persons in the same scene, and automatically sets the preference settings according to the preference values if the preference settings of the persons in the scene are stored, or if the preference settings are not manually set by the user, a few or more than ten persons may be initially photographed and manually set by the user according to the preference of the user, and the photographing parameters can be intelligently set after intelligently classifying and storing the preference settings of the images of the persons in the same scene.
According to the scheme, the shot figure pictures are marked, then parameter ranges set by the figure pictures in different scenes are counted in a classified mode, and then corresponding parameters are automatically set in the figure pictures to be shot, so that the intelligent purpose is achieved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.
According to another aspect of the embodiments of the present application, there is also provided a photographing apparatus of a camera for implementing the photographing method of the camera. Fig. 3 is a schematic diagram of an alternative camera shooting device according to an embodiment of the present application, and as shown in fig. 3, the device may include:
an acquisition unit 31 for acquiring a target type of a target scene to be photographed by a target camera; a configuration unit 33, configured to perform parameter configuration on the target camera according to the target type; and a shooting unit 35, configured to use the configured target camera to perform shooting.
It should be noted that the acquiring unit 31 in this embodiment may be configured to execute step S1 in this embodiment, the configuring unit 33 in this embodiment may be configured to execute step S2 in this embodiment, and the capturing unit 35 in this embodiment may be configured to execute step S3 in this embodiment.
Acquiring the target type of a target scene to be shot by a target camera through the module; performing parameter configuration on the target camera according to the target type; the target camera after being configured is used for shooting, the parameter ranges set by the person pictures in different scenes are counted in a classified mode, and then corresponding parameters are automatically set in the person pictures to be shot, so that the purpose of intellectualization is achieved, and the technical problem that the shooting quality of the camera in the related technology is low can be solved.
Optionally, the configuration unit is further configured to, when performing parameter configuration on the target camera according to the target type, search for a camera parameter matching the target type from multiple pre-stored camera parameters, and perform parameter configuration on the target camera by using the camera parameter matching the target type, where each camera parameter in the multiple camera parameters matches one scene type; or searching a target photo matched with the target scene from a plurality of pre-stored photos, and performing parameter configuration on the target camera by using the camera parameters of the target photo.
Optionally, the configuration unit is further configured to search a plurality of target photos matched with the target scene from a plurality of pre-stored photos, and when the parameter configuration is performed on the target camera by using the camera parameters of the target photos, search a plurality of target photos matched with the target scene from the plurality of pre-stored photos; acquiring parameter configurations of the multiple target photos, and averaging parameter values of the parameter configurations of the multiple target photos in the same dimension to obtain camera parameters matched with the target types; and performing parameter configuration on the target camera by using the camera parameters matched with the target type.
Optionally, the configuration unit is further configured to classify the taken pictures of the target camera before searching for camera parameters matching the target type from among pre-stored multiple types of camera parameters; and obtaining multiple types of camera parameters by performing parameter analysis on each type of shot pictures.
Optionally, the configuration unit is further configured to perform face recognition on all the taken photos when the taken photos of the target camera are classified, and identify the taken photos with faces; and classifying the shot photos with the human faces according to the types of the scenes to obtain multiple types of shot photos.
Optionally, the configuration unit is further configured to, when parameters of multiple types of cameras are obtained by performing parameter analysis on each type of captured photos, obtain parameter configurations of all captured photos in each type for each type of captured photos; and averaging parameter values of parameter configuration of all the taken photos in the same dimension to obtain camera parameters matched with the type.
Optionally, the acquiring unit is further configured to, when acquiring a target type of a target scene to be captured by the target camera, identify the target type from an image of the target scene captured by the target camera.
It should be noted here that the modules described above are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the above embodiments. It should be noted that the modules as a part of the apparatus may run in a corresponding hardware environment, and may be implemented by software, or may be implemented by hardware, where the hardware environment includes a network environment.
According to another aspect of the embodiments of the present application, there is also provided a server or a terminal for implementing the photographing method of the camera.
Fig. 4 is a block diagram of a terminal according to an embodiment of the present application, and as shown in fig. 4, the terminal may include: one or more processors 201 (only one shown), memory 203, and transmission means 205, as shown in fig. 4, the terminal may further comprise an input-output device 207.
The memory 203 may be used to store software programs and modules, such as program instructions/modules corresponding to the camera shooting method and apparatus in the embodiment of the present application, and the processor 201 executes various functional applications and data processing by running the software programs and modules stored in the memory 203, so as to implement the camera shooting method described above. The memory 203 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 203 may further include memory located remotely from the processor 201, which may be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 205 is used for receiving or sending data via a network, and can also be used for data transmission between a processor and a memory. Examples of the network may include a wired network and a wireless network. In one example, the transmission device 205 includes a Network adapter (NIC) that can be connected to a router via a Network cable and other Network devices to communicate with the internet or a local area Network. In one example, the transmission device 205 is a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
Wherein the memory 203 is specifically used for storing application programs.
The processor 201 may call the application stored in the memory 203 via the transmission means 205 to perform the following steps:
acquiring a target type of a target scene to be shot by a target camera;
performing parameter configuration on the target camera according to the target type;
and shooting by using the configured target camera.
The processor 201 is further configured to perform the following steps:
searching camera parameters matched with the target type from a plurality of pre-stored camera parameters, and performing parameter configuration on the target camera by using the camera parameters matched with the target type, wherein each camera parameter in the plurality of camera parameters is matched with one scene type; or the like, or, alternatively,
and searching a target photo matched with the target scene from a plurality of pre-stored photos, and performing parameter configuration on the target camera by using the camera parameters of the target photo.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
It can be understood by those skilled in the art that the structure shown in fig. 4 is only an illustration, and the terminal may be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, and a Mobile Internet Device (MID), a PAD, etc. Fig. 4 is a diagram illustrating the structure of the electronic device. For example, the terminal may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in FIG. 4, or have a different configuration than shown in FIG. 4.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
Embodiments of the present application also provide a storage medium. Alternatively, in the present embodiment, the above-described storage medium may be used for program codes for executing a photographing method of a camera.
Optionally, in this embodiment, the storage medium may be located on at least one of a plurality of network devices in a network shown in the above embodiment.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps:
acquiring a target type of a target scene to be shot by a target camera;
performing parameter configuration on the target camera according to the target type;
and shooting by using the configured target camera.
Optionally, the storage medium is further arranged to store program code for performing the steps of:
searching camera parameters matched with the target type from a plurality of pre-stored camera parameters, and performing parameter configuration on the target camera by using the camera parameters matched with the target type, wherein each camera parameter in the plurality of camera parameters is matched with one scene type; or the like, or, alternatively,
and searching a target photo matched with the target scene from a plurality of pre-stored photos, and performing parameter configuration on the target camera by using the camera parameters of the target photo.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, network devices, or the like) to execute all or part of the steps of the method described in the embodiments of the present application.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A photographing method of a camera, comprising:
acquiring a target type of a target scene to be shot by a target camera;
performing parameter configuration on the target camera according to the target type;
and shooting by using the configured target camera.
2. The method of claim 1, wherein configuring parameters of the target camera according to the target type comprises:
searching camera parameters matched with the target type from a plurality of pre-stored camera parameters, and performing parameter configuration on the target camera by using the camera parameters matched with the target type, wherein each camera parameter in the plurality of camera parameters is matched with one scene type; or the like, or, alternatively,
and searching a target photo matched with the target scene from a plurality of pre-stored photos, and performing parameter configuration on the target camera by using the camera parameters of the target photo.
3. The method of claim 2, wherein a target photo matching the target scene is searched from a plurality of pre-stored photos, and the parameter configuration of the target camera by using the camera parameters of the target photo comprises:
searching a plurality of target photos matched with the target scene from the plurality of pre-stored photos;
acquiring parameter configurations of the multiple target photos, and averaging parameter values of the parameter configurations of the multiple target photos in the same dimension to obtain camera parameters matched with the target types;
and performing parameter configuration on the target camera by using the camera parameters matched with the target type.
4. The method of claim 2, wherein before searching for camera parameters matching the target type from among pre-stored multiple types of camera parameters, the method further comprises:
classifying the taken pictures of the target camera;
and obtaining multiple types of camera parameters by performing parameter analysis on each type of shot pictures.
5. The method of claim 4, wherein classifying the captured pictures of the target camera comprises:
carrying out face recognition on all the shot photos to recognize the shot photos with faces;
and classifying the shot photos with the human faces according to the types of the scenes to obtain multiple types of shot photos.
6. The method of claim 4, wherein obtaining multiple types of camera parameters by performing parameter analysis on each type of captured pictures comprises:
for each type of shot photos, acquiring parameter configuration of all shot photos in each type;
and averaging parameter values of parameter configuration of all the taken photos in the same dimension to obtain camera parameters matched with the type.
7. The method of claim 1, wherein obtaining the object type of the object scene to be captured by the object camera comprises:
identifying the target type from an image of the target scene captured by the target camera.
8. A photographing apparatus of a camera, comprising:
the device comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring a target type of a target scene to be shot by a target camera;
the configuration unit is used for carrying out parameter configuration on the target camera according to the target type;
and the shooting unit is used for shooting by using the configured target camera.
9. A storage medium, characterized in that the storage medium comprises a stored program, wherein the program when executed performs the method of any of the preceding claims 1 to 7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the method of any of the preceding claims 1 to 7 by means of the computer program.
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