CN107820020A - Method of adjustment, device, storage medium and the mobile terminal of acquisition parameters - Google Patents
Method of adjustment, device, storage medium and the mobile terminal of acquisition parameters Download PDFInfo
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- CN107820020A CN107820020A CN201711275920.4A CN201711275920A CN107820020A CN 107820020 A CN107820020 A CN 107820020A CN 201711275920 A CN201711275920 A CN 201711275920A CN 107820020 A CN107820020 A CN 107820020A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/62—Control of parameters via user interfaces
Abstract
The embodiment of the present application discloses a kind of method of adjustment of acquisition parameters, device, storage medium and mobile terminal.This method includes：Obtain the first preview image of object to be captured；Pass through the photographed scene of the first preview image described in the scene Recognition Model Identification that pre-sets；When the photographed scene is default scene, the first acquisition parameters of the second shooting parameter adjustment camera according to corresponding to the default scene, to be shot according to second acquisition parameters to the object to be captured, the degree of accuracy of scene Recognition can be lifted, expand the species of scene Recognition, so as to, the problem of accuracy rate of solution correlation technique Scene identification is not high, and recognizable scene type is limited, improves shooting effect.
Description
Technical field
The invention relates to mobile terminal technology, more particularly to a kind of method of adjustment of acquisition parameters, device, storage
Medium and mobile terminal.
Background technology
As the application in the mobile terminals such as the development of mobile terminal technology, mobile phone is also more and more, various mobile terminals
Also become more popular.The function of existing mobile terminal is not limited to make a phone call or see the function of video already, and shooting is
One of main function as most of mobile terminals.
In order to shoot the image of high quality, following two methods are mainly used in correlation technique：A kind of method is
User can adjust acquisition parameters manually according to the needs of oneself, and still, it is higher special that this kind of adjusting method requires that user has
Industry technical ability, the effect that can skillfully grasp the meaning of various acquisition parameters and coordinate each other, and frequently regulation operation is more numerous
It is trivial, lose time, it is difficult to capture the scene of moment；Another method is that the manufacturer of user terminal is in advance in user terminal
The a variety of screening-modes of memory storage, each screening-mode is all corresponding with the setting of a series of acquisition parameters, user can root
Corresponding screening-mode is selected according to the needs of oneself, then the screening-mode that the camera model of user terminal selects according to user calls
Corresponding parameter setting, the regulation of acquisition parameters is realized automatically, still, this kind of regulative mode can only call several limited shootings
Pattern, it is more inflexible, all photographed scenes can not be applied to, make customer satisfaction system image imitate so as to cause to take
Fruit.
The content of the invention
The embodiment of the present application provides a kind of method of adjustment of acquisition parameters, device, storage medium and mobile terminal, Ke Yiti
For the acquisition parameters Adjusted Option of optimization, the shooting effect of mobile terminal is lifted.
In a first aspect, the embodiment of the present application provides a kind of method of adjustment of acquisition parameters, including：
The first preview image of object to be captured is obtained, wherein, first preview image is according to first by camera
The picture of the object to be captured of acquisition parameters capture；
By the photographed scene of the first preview image described in the scene Recognition Model Identification that pre-sets, wherein, the field
Scape identification model is the deep learning model according to picture sample collection training；
When the photographed scene is default scene, the second shooting parameter adjustment shooting according to corresponding to the default scene
First acquisition parameters of head, to be shot according to second acquisition parameters to the object to be captured.
Second aspect, the embodiment of the present application additionally provide a kind of parameter adjustment controls, and the device includes：
Image collection module, for obtaining the first preview image of object to be captured, wherein, first preview image is
The picture of the object to be captured captured by camera according to the first acquisition parameters；
Scene Recognition module, the shooting for the first preview image described in the scene Recognition Model Identification by pre-setting
Scene, wherein, the scene Recognition model is the deep learning model according to picture sample collection training；
Parameter adjustment module, for when the photographed scene is default scene, the according to corresponding to the default scene
Two acquisition parameters adjust the first acquisition parameters of camera, to be carried out according to second acquisition parameters to the object to be captured
Shooting.
The third aspect, the embodiment of the present application additionally provide a kind of computer-readable recording medium, are stored thereon with computer
Program, the method for adjustment of the acquisition parameters as described in above-mentioned first aspect is realized when the program is executed by processor.
Fourth aspect, the embodiment of the present application also provide another terminal, including memory, processor and are stored in memory
Computer program that is upper and being run in processor, realizes such as above-mentioned first party during computer program described in the computing device
The method of adjustment of acquisition parameters described in face.
The embodiment of the present application provides a kind of Adjusted Option of acquisition parameters, by the first preview graph for obtaining object to be captured
Picture；By the photographed scene of scene Recognition Model Identification first preview image pre-set；Belong to pre- in the photographed scene
If during scene, the first acquisition parameters of the second shooting parameter adjustment camera, can effectively be carried according to corresponding to default scene
Rise the shooting effect of mobile terminal.Using above-mentioned technical proposal, photographed scene identification, Ke Yiti are carried out based on scene Recognition model
Rise the degree of accuracy of scene Recognition, expand the species of scene Recognition, so as to be joined according to the shooting of photographed scene adjust automatically camera
Number, lift shooting effect.
Brief description of the drawings
Fig. 1 is a kind of flow chart of the method for adjustment for acquisition parameters that the embodiment of the present application provides；
Fig. 2 is the flow chart of the method for adjustment for another acquisition parameters that the embodiment of the present application provides；
Fig. 3 is the flow chart that a kind of user that the embodiment of the present application provides changes acquisition parameters；
Fig. 4 is the flow chart of the method for adjustment for another acquisition parameters that the embodiment of the present application provides；
Fig. 5 is a kind of image display interfaces schematic diagram that the embodiment of the present application provides；
Fig. 6 is a kind of structured flowchart of the adjusting apparatus for acquisition parameters that the embodiment of the present application provides；
Fig. 7 is a kind of structured flowchart for mobile terminal that the embodiment of the present application provides；
Fig. 8 is a kind of structured flowchart for smart mobile phone that the embodiment of the present application provides.
Embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the application, rather than the restriction to the application.It also should be noted that in order to just
The part related to the application rather than entire infrastructure are illustrate only in description, accompanying drawing.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail
The processing described as flow chart or method.Although each step is described as the processing of order, many of which by flow chart
Step can be implemented concurrently, concomitantly or simultaneously.In addition, the order of each step can be rearranged.When its operation
The processing can be terminated during completion, it is also possible to the additional step being not included in accompanying drawing.The processing can be with
Corresponding to method, function, code, subroutine, subprogram etc..
It should be noted that optical sensor, the air pressure sensing that some are carried based on mobile terminal are provided in correlation technique
Device etc. judges the scheme of the scene residing for mobile terminal.In addition, there are some to utilize SURF (Speeded-Up Robust
Features, accelerating robust feature) (Scale-invariant feature transform, Scale invariant are special by algorithm or SIFT
Sign conversion) algorithm judges scene information.However, the accuracy rate that such scheme has scene Recognition is not high, and recognizable
The problem of scene type is limited.In order to solve the above technical problems, the application provides a kind of Adjusted Option of acquisition parameters, Ke Yiti
The accuracy rate of high scene Recognition, expand recognizable scene type, so as to effectively lift shooting effect.
Fig. 1 is a kind of flow chart of the method for adjustment for acquisition parameters that the embodiment of the present application provides.This method can be by clapping
The adjusting apparatus of parameter is taken the photograph to perform, wherein, the device can be realized by software and/or hardware, can typically be integrated in mobile terminal
In, such as the mobile terminal with camera.As shown in figure 1, this method includes：
Step 110, the first preview image for obtaining object to be captured.
It should be noted that the first preview image is the object to be captured captured by camera according to the first acquisition parameters
Picture.First preview image can include user before button of taking pictures is pressed, the shooting shown in the shooting interface of mobile terminal
The picture that head is captured.The first preview image in the present embodiment includes but is not limited to figure kind's image, natural land class image
And humane Building class image.Wherein, the first acquisition parameters can be camera applications or other application software with shoot function
Default parameters in shooting.Or first acquisition parameters can also be parameter etc. corresponding to the screening-mode of user's selection.
In the embodiment of the present application, acquisition operation of the mobile terminal to the first preview image can be by the system of mobile terminal
Perform, or performed by any application software containing shoot function in mobile terminal, the operation for obtaining the first preview image can
To be performed under the operation instruction of user by system or application software.For example, user directly can be opened in mobile terminal system
Camera function is taken pictures to personage, the option of taking pictures of application software can also be used to take pictures building.
Usually, the acquisition modes of first preview image can be by the camera lens in camera, by reference object
Optical imagery is projected on sensitive chip, optical image signal is converted into electric signal by sensitive chip, by a series of settings
Conversion or processing after, obtain the first preview image, pass through special interface (such as MIPI interfaces, i.e. Mobile Industry
Processor Interface, move Industry Processor Interface) the first preview image is sent to ISP (Image Signal
Processor, image processor) handled, the form that can be shown on the display screen of mobile terminal is ultimately converted to, is being moved
Shown on the display screen of dynamic terminal.
Step 120, the photographed scene by the first preview image described in the scene Recognition Model Identification that pre-sets.
It should be noted that scene Recognition model is the deep learning model according to picture sample collection training.The scene is known
Other model can be used for after the first preview image is inputted, and identify quickly and accurately the photographed scene of the first preview image.
Wherein, photographed scene can be the class label for being classified to obtain to reference object according to the destination object of setting, including but
It is not limited to cuisines scene, greenery patches scene, moving scene, building scenes, personage's scene and night scene scene.
Optionally, the scene Recognition model can be based on picture sample collection, using setting machine learning algorithm to default
Deep learning model be trained obtained model, wherein, scene Recognition model can be convolutional neural networks model.Need
Illustrate, above-mentioned training process can be performed by server, can also be performed by mobile terminal, the embodiment of the present application is not made
Limit.Wherein, picture sample collection includes carrying out destination object under various scene types the picture sample of position mark, including but
User's picture in the network picture being not limited in the network platform and mobile terminal picture storehouse.
Network picture can be downloaded from the network platform by web crawlers, and it is specific in the handmarking network picture
Destination object, the first picture sample is obtained, first picture sample is stored in picture sample collection.It should be noted that the mesh
Mark object can be used for distinguishing photographed scene.Mark mode to destination object can be the position that handmarking goes out the destination object
Put, including but not limited to mark represents the pixel of the destination object.For example, the plate to mark dish-up, then can mark
The profile of plate, and using pixel corresponding to the pixel as plate in the profile of delineation.And for example, to mark meadow, then may be used
To mark the profile on meadow, and using pixel corresponding to the pixel as meadow in the profile of delineation.
Optionally, user's picture in the picture library (or photograph album) for obtaining mobile terminal is can also be, and handmarking should
Specific destination object in network picture, obtains second picture sample, and the second picture sample is stored in into picture sample collection.
Usually, server needs to obtain user's license, therefore, clothes before obtaining user's picture from mobile terminal photograph album
Device be engaged in when obtaining user's picture by mobile terminal photograph album first, mobile terminal shows inquiry message in the form of dialog box, with
Ask whether to authorize the authority of server access photograph album.The input instruction of user is obtained, if user inputs information certainly, is assigned
The authority of the server access photograph album.
It should be noted that setting machine learning algorithm includes but is not limited to propagated forward algorithm and Back Propagation Algorithm.
In the embodiment of the present application, the building mode of scene Recognition model can be pre-set hidden layer number and
The nodes of input layer, hidden layer and each layer of output layer, and the first parameter of initialization convolutional neural networks, wherein, first
Parameter includes the bias of each layer and the weight on side, tentatively obtains deep learning model.Then, the picture sample set pair depth is utilized
Spend the training that learning model carries out two stages of propagated forward and back-propagating；Reached in the error that back-propagating training is calculated
During to expected error value, training terminates, and obtains scene Recognition model.After training terminates, server response mobile terminal
Request, issues scene Recognition model to mobile terminal.So as to, the scene Recognition model that the acquisition for mobile terminal server is sent,
And it is configured at mobile terminal local.Because scene Recognition model is the picture sample middle school by including different scenes classification in large quantities
Effective feature is practised out, it is thus possible to increase the species of recognizable scene, improves the degree of accuracy of scene Recognition.
It should be noted that to the number of plies, the quantity of neuron, convolution kernel of the neural network model in the embodiment of the present application
And/or the network parameter such as weight is not construed as limiting.
In the embodiment of the present application, the scene Recognition model input of the first preview image being pre-configured with, passes through the scene
Identification model analyzes the probability that first preview image belongs to scene specified in the scene Recognition model, by the scene Recognition mould
Photographed scene of the probability highest scene of type output as first preview image.
Step 130, when the photographed scene is default scene, according to the second acquisition parameters corresponding to the default scene
The first acquisition parameters of camera are adjusted, to be shot according to second acquisition parameters to the object to be captured.
In the embodiment of the present application, default scene can be the class label for the setting for being pre-configured with acquisition parameters, should
Default scene can be stored in default scene library.Optionally, can (can by analyzing targeted user population by server
Be professional photographer wait with shooting experience personnel) different photographed scenes history photographed data, obtained shooting field
The incidence relation of scape and acquisition parameters, default scene library is formed according to the incidence relation.After the completion of scene library structure, service
Device can issue the scene library to mobile terminal according to the request of mobile terminal.Wherein, history photographed data includes picture and right
The camera parameter answered, it can be when preserving the picture shot by camera, preserve shooting when obtaining the picture in the lump
Head parameter, history photographed data is formed by the picture with corresponding camera parameter.It is understood that can also be by mobile whole
End group builds scene library in the history photographed data of different scenes, and the embodiment of the present application is simultaneously not construed as limiting.
It should be noted that the first acquisition parameters and the second acquisition parameters can be the relevant parameter of camera when shooting,
Including but not limited to aperture, shutter, exposure compensating, focal length, sensitivity, white balance.
In the embodiment of the present application, can after the photographed scene of the first preview image is gone out according to scene Recognition Model Identification
To be matched according to the photographed scene with default scene；It is determined that with the photographed scene default scene that the match is successful, obtain
Second acquisition parameters corresponding to the default scene, and replace first acquisition parameters according to second acquisition parameters.Show
Example property, default scene library can be inquired about according to the photographed scene, it is determined whether scene is preset with the photographed scene identical,
If in the presence of, it is determined that the photographed scene is default scene, otherwise, it determines the photographed scene is not belonging to default scene library.If shooting
Scene is default scene, then obtains the second acquisition parameters corresponding to the default scene, it may be determined that the second acquisition parameters and first
Difference parameter between acquisition parameters, corresponding parameter in the first acquisition parameters is replaced using the difference parameter, it is thus possible to root
Reference object is treated according to the second acquisition parameters to be shot, and is obtained the picture for meeting specialty shooting rule, is lifted shooting effect.Show
Example property, after the second acquisition parameters and the first acquisition parameters are compared, however, it is determined that exposure compensating and shutter are then adopted to distinguish parameter
Corresponding exposure compensating and shutter in the first acquisition parameters are replaced with the numerical value of the exposure compensating in the second acquisition parameters and shutter.
The technical scheme of the present embodiment, by the first preview image for obtaining object to be captured；Pass through the field pre-set
Scape identification model identifies the photographed scene of first preview image；When the photographed scene belongs to default scene, according to default field
First acquisition parameters of the second shooting parameter adjustment camera corresponding to scape, it can effectively lift the shooting effect of mobile terminal
Fruit.Using above-mentioned technical proposal, photographed scene identification is carried out based on scene Recognition model, the accurate of scene Recognition can be lifted
Degree, the species for expanding scene Recognition, so as to according to the acquisition parameters of photographed scene adjust automatically camera, lift shooting effect.
Fig. 2 is the flow chart of the method for adjustment for another acquisition parameters that the embodiment of the present application provides.This method includes：
Step 201, the first preview image for obtaining object to be captured.
Wherein, the first preview image is the picture of the object to be captured captured by camera according to the first acquisition parameters.Obtain
Take that the execution method of the first preview image is similar with the record of above-mentioned example, and here is omitted.
Step 202, the photographed scene by the first preview image described in the scene Recognition Model Identification that pre-sets.
Wherein, scene Recognition model is the deep learning model according to picture sample collection training.
It is understood that scene Recognition model is pre-set in mobile terminal, can be sent to server
Request is obtained, and the scene Recognition model is obtained by server.Wherein, the scene Recognition model is according to picture by server
The deep learning model of sample set training, and the picture sample collection includes the picture sample to destination object progress position mark
This.
Scene Recognition operation is similar with the record of above-mentioned example, and here is omitted.
Step 203, the photographed scene matched with the default scene in default scene library.
Step 204, determine with the photographed scene default scene that the match is successful, obtain corresponding to the default scene the
Two acquisition parameters, and replace first acquisition parameters according to second acquisition parameters.
The step of parameter adjustment, is similar in the record of above-mentioned example, and here is omitted.Replaced using the second acquisition parameters
First acquisition parameters, and reference object is shot according to the second acquisition parameters, shooting effect can be improved.
Step 205, the parameters revision operation for obtaining user's input.
It should be noted that parameters revision operation is the operation of the amendment to acquisition parameters of user's input, including it is but unlimited
In adjustment aperture, shutter, exposure compensating, focal length, sensitivity, the span of white balance.In some cases, user may be
Pursue artistic effect and shot using the acquisition parameters different from present filming scene, now, the modification that user can be artificial
Acquisition parameters.
Exemplary, Fig. 3 provides the flow chart that a kind of user changes acquisition parameters, as shown in figure 3, can be clicked in user
After the preview image 310 that current display area is shown, acquisition parameters modification interface 320 is ejected in the form of dialog box, is being shot
Parameter modification shows the acquisition parameters such as aperture, shutter, exposure compensating, focal length, sensitivity, white balance in interface 320, obtains user
The modification information such as the amendment numerical value of input or the position of sliding block.
In the embodiment of the present application, the modification operation for the acquisition parameters that system detectio inputs to user, including detect each
The clicking operation of control corresponding to individual acquisition parameters, and the modification numerical value inputted in the control.Can also be detect it is each
The slide of slider control corresponding to acquisition parameters.
In the display interface of the second preview image, system obtains the parameters revision operation of user's input, including which is changed
Individual parameter, and parameter values are how many.
Step 206, the second acquisition parameters according to the parameters revision operation adjustment, obtain third shot and take the photograph parameter.
It should be noted that parameters revision operation includes which parameter and supplemental characteristic corrected.Based on this, can correspond to
The acquisition parameters of modification second in, parameters revision operation corresponding to parameter.As shown in figure 3, if parameters revision operation is corresponding
In the operation of shutter, and it is by x by focal length to correct data1Mm is revised as x2Mm, then to the value of the shutter in the second acquisition parameters
Scope, which is adjusted to obtain third shot, takes the photograph parameter.Acquisition parameters are changed according to the modification information, then, obtained on preview button
Operation information, respond the operation information and show preview interface, so that user checks corresponding to amended acquisition parameters shooting
The shooting effect of image.
Step 207, it is recorded in setting time section and the number that parameter is shot is taken the photograph using the third shot.
Parameter is taken the photograph using third shot and performs shooting operation, and the number that parameter execution shooting is taken the photograph using the third shot is added 1.
It is obtained from and parameter is taken the photograph using third shot first shoot, the use third shot in setting time section is taken the photograph parameter and shot
Number.Wherein, setting time section can be the system default time, including but not limited to one week or one month.Set in advance
A fixed period of supervision, if user often takes the photograph parameter using third shot under a certain photographed scene and clapped in the period of supervision
According to then proof user is uncomfortable under the photographed scene uses default acquisition parameters corresponding with the photographed scene, but practises
It is used to take the photograph parameter using third shot and is shot.
Step 208, judge whether the number exceedes setting frequency threshold value, if so, then performing step 209, otherwise perform step
Rapid 210.
Wherein, the numerical value of numerical value that frequency threshold value sets as system default or user's sets itself as needed is set.
Step 209, the third shot is taken the photograph to parameter it is stored in default scene library with the default scene relating.
It is understood that the incidence relation of default scene and acquisition parameters is stored with default scene library.In this reality
Apply in example, default scene can be photographed scene corresponding to the shooting picture of parameters revision operation.
In the embodiment of the present application, it can adopt third shot to be taken the photograph parameter to be stored in default scene library with default scene relating
By the use of default scene as search key, scene library is inquired about, it is determined that corresponding second acquisition parameters of scene are preset with this, then,
Parameter is taken the photograph using third shot and replaces the second acquisition parameters, so that scene library more meets the shooting custom of user, there is provided personalized
Scene library.
Optionally, third shot is taken the photograph into parameter and default scene relating it is stored in default scene library and can also be and establishes third shot
The incidence relation of parameter and default scene is taken the photograph, and increases a note that parameter is taken the photograph on presetting scene and third shot in scene library
Record.Now, the corresponding at least two sets of acquisition parameters of same default scene in scene library be present.For example, a certain default field
Scape both shot parameter association with second, and took the photograph parameter association with third shot.
Step 210, viewing area show preview image.
If using third shot to take the photograph the number that parameter is shot in setting time section is less than setting frequency threshold value,
When detecting that the mobile terminal for enabling scene Recognition function is shot again, it is pre- to go out first by scene Recognition Model Identification
Look at the photographed scene of image.The second shooting acquisition parameters of parameter adjustment first according to corresponding to the photographed scene, in viewing area
Show the second preview image corresponding to the second acquisition parameters.
If using third shot to take the photograph the number that parameter is shot in setting time section exceedes setting frequency threshold value,
When detecting that the mobile terminal for enabling scene Recognition function is shot again, it is pre- to go out first by scene Recognition Model Identification
Look at the photographed scene of image, and the photographed scene is that third shot takes the photograph scene corresponding to parameter.According to corresponding to the photographed scene
The three shooting acquisition parameters of parameter adjustment first, show that third shot takes the photograph preview image new corresponding to parameter in viewing area.
It is interchangeable, if using third shot to take the photograph the number that parameter is shot in setting time section exceedes setting number
Threshold value, then when detecting that the mobile terminal for enabling scene Recognition function is shot again, known by scene Recognition model
Do not go out the photographed scene of the first preview image.Obtain the second acquisition parameters and third shot corresponding to the photographed scene and take the photograph parameter, point
The acquisition parameters of parameter adjustment camera are not taken the photograph according to the second acquisition parameters and third shot.Then, camera is respectively according to second
Acquisition parameters and third shot take the photograph the frame preview image of parameter acquiring two, and above-mentioned preview graph is shown respectively in the viewing area of display screen
Picture, the preview image being satisfied with for selection by the user are shot.Optionally, the second shooting is shown in the first area of viewing area
Preview image corresponding to parameter, show that third shot takes the photograph preview image corresponding to parameter in the second area of display screen, it is same to realize
When show different acquisition parameters corresponding to preview image, be easy to user compare two images difference, and select meet shooting will
The preview image asked is shot.
The technical scheme of the present embodiment, by the second shooting parameter adjustment camera according to corresponding to the default scene
The first acquisition parameters after, perform obtain user input parameters revision operation, according to the parameters revision operation adjustment institute
The second acquisition parameters are stated, third shot is obtained and takes the photograph parameter, is recorded in setting time section and parameter progress is taken the photograph using the third shot
The number of shooting, when the number exceedes setting frequency threshold value, the third shot is taken the photograph into parameter and the default scene relating
Default scene library is stored in, the renewal scene library of the shooting custom intelligence according to user is realized, so as to make shooting field in scene library
Acquisition parameters corresponding to scape more meet the shooting custom of individual subscriber.
Fig. 4 is the flow chart of the method for adjustment for another acquisition parameters that the embodiment of the present application provides.This method is applied to
User is accustomed to or in order to shoot the situation that certain artistic effect voluntarily sets the acquisition parameters of camera according to the shooting of oneself.
As shown in figure 4, this method includes：
Step 410, the first preview image for obtaining object to be captured.
Wherein, the first preview image is the picture of the reference object captured by camera according to the first acquisition parameters, first
Acquisition parameters can be that user is voluntarily set according to the shooting custom of oneself.It is understood that the first acquisition parameters may be used also
Using be user as shooting obtains the photo with certain artistic effect and the parameter of the camera of sets itself.For example, user is
Shooting obtains the photo with slow-speed shutter effect, it is necessary to the parameter such as artificial setting shutter speed and aperture, now just not
Suitably according to photographed scene adjust automatically acquisition parameters.
Step 420, the photographed scene by the first preview image described in the scene Recognition Model Identification that pre-sets.
Step 430, the photographed scene matched with the default scene in default scene library.
Step 440, determine with the photographed scene default scene that the match is successful, obtain corresponding to the default scene the
Two acquisition parameters, and replace first acquisition parameters according to second acquisition parameters.
Step 450, the second preview image for obtaining the object to be captured that camera captures according to the second acquisition parameters.
In the embodiment of the present application, according to the second shooting parameter adjustment camera, then will bat by the camera after adjustment
The optical imagery for taking the photograph object is projected on sensitive chip, optical image signal is converted into electric signal by sensitive chip, by one
After the conversion or processing of series setting, the second preview image is obtained, the second preview image is sent into ISP by MIPI interfaces enters
Row processing.
Step 460, control first preview image shown in default first area, and by second preview
Image is shown in default second area.
It should be noted that the area of first area is less than the area of the viewing area of display screen, the area of second area
Again smaller than the area of the viewing area of display screen, the aobvious of display screen is formed after being spliced by first area and second area
Show region.
Exemplarily, a new figure layer can be created, as the first figure layer.First preview image is obtained by ISP, and
The backup image of a first preview image is preserved, then, image down processing is carried out to the first preview image, it is pre- to obtain the 3rd
Look at image.The size of 3rd preview image is identical with the size of first area.Then, by graphics processor GPU this first
The 3rd preview image is drawn in the first area of figure layer, realizes using the full first area of the preview image of a frame the 3rd filling.It is optional
, closest interpolation method, bilinear interpolation value method or cubic convolution method can be used to carry out image down to the first preview image
Processing.The first preview image after diminution is handled is drawn on the first area of the first figure layer.In addition, create a new figure
Layer, as the second figure layer.Second preview image is obtained by ISP, and preserves the backup image of a second preview image, then
Image down processing is carried out to the second preview image, obtains the 4th preview image.The size and second area of 4th preview image
Size it is identical.Then, the 4th preview image is drawn in the second area of second figure layer by image processor GPU, realized
The full second area is filled using the 4th preview image.First figure layer is synthesized by image processor GPU and the second figure layer obtains
Picture to be shown.According to the refresh rate of setting in the display screen display of the mobile terminal picture to be shown.It should be noted that
Second figure layer the 3rd region corresponding with the first area is transparent figure layer.So as to realize same in the viewing area of display screen
When show diminution processing after the first preview image and the second preview image.Fig. 5 is a kind of image that the embodiment of the present application provides
Display interface schematic diagram.As shown in figure 5, the first figure layer 510 includes first area 511, and the area of first area 511 is less than the
The area of one figure layer 510, the downscaled images of the first preview image, i.e. the 3rd preview image 512 are drawn in first area 511.
Second figure layer 520 includes second area 521, and the area of second area 521 is less than the area of the second figure layer 520, in the secondth area
The downscaled images of the second preview image, i.e. the 4th preview image 522 are drawn in domain 521.It should be noted that in order in post synthesis
Picture to be shown in show the 3rd preview image 512 and the 4th preview image 522, the second figure layer 520 and the first figure layer simultaneously
3rd region 523 corresponding to 510 first area 511 is transparent figure layer.So as to synthesize the first figure layer 510 and the second figure layer
After 520, first area 511 shows the first preview image after reducing in viewing area, and second area 521 shows diminution
The second preview image afterwards.
Step 470, obtain the user's operation for being directed to preview image.
It should be noted that preview image can be the 3rd preview image or the 4th preview image.User operation includes
User is directed to the touch operation of mobile terminal display screen, user for setting the pressing operation of physical button (for example, by pressing
Sound key+, the 3rd preview image of first area is selected, and press the 4th preview graph of sound key-selection second area
Picture), setting gesture and voice instruction etc..Wherein, touch operation includes the clicking operation acted on display screen, including but unlimited
In the 3rd preview image that first area is selected by clicking the optional position of display screen, by the optional position for double-clicking display screen
Select the 4th preview image of second area.Touch operation can also be the touch gestures acted on display screen, touch gestures
The 3rd preview image that Z represents selection first area is including but not limited to drawn on a display screen, is drawn V on a display screen and is represented selection
4th preview image of second area.Setting gesture includes space gesture, and space gesture includes but is not limited to by mobile phone in sky
Between draw C represent selection first area conditioning chamber in preview image, by mobile phone space draw O represent selection second area the 4th
Preview image.
It is understood that the above-mentioned record on user gesture is merely illustrative and non-limiting.For example, touch operation is also
It can be the clicking operation acted in first area, represent the 3rd preview image of selection；And act in second area
Clicking operation, represent the 4th preview image of selection.And for example, touch operation can also be the slide acted in first area
The 3rd preview image is abandoned in (including the slide slided by first area interior), expression.
Step 480, operated according to the user and obtain the first preview image or the second preview image, and in the display screen
Viewing area show first preview image or the second preview image.
It should be noted that the first preview image and the second preview image herein is the bat for not carrying out image down processing
Picture is taken the photograph, can be able to be the backup image of the first preview image of acquisition by being obtained in ISP or be obtained the standby of the second preview image
Part image.
It should be noted that pre-establishing the incidence relation of user's operation, preview image and processing operation, and this is associated
Relation is stored in operation white list.For example, user is operated, preview image and processing are operated in a manner of following associated records
It is stored in white list：Z --- the 3rd preview image --- is drawn on a display screen chooses the first preview image；Draw on a display screen
O --- the 4th preview image --- chooses the second preview image；Click display screen --- the 3rd preview image --- and choose first
Preview image；Double-click display screen --- the 4th preview image --- and choose the second preview image；Press volume+key --- the 3rd is pre-
Look at image --- choose the first preview image；Press volume-key --- the 4th preview image --- and choose the second preview image；
Input slides to the right the 3rd preview image --- the 3rd preview image --- and abandons the first preview image in first area；Second
Region input slides to the right the 4th preview image --- the 4th preview image --- and abandons second preview image etc..It is appreciated that
, the record of the above-mentioned incidence relation on user's operation, preview image and processing operation is merely illustrative and non-limiting, also
Above-mentioned incidence relation can be stored by the way of key-value pair or mapping.
When detecting user's operation, the operating gesture and operating position that are operated according to the user determine pair that user operates
As and processing operation.For example, if user's operation is the clicking operation for acting on first area, the object operated is the 3rd preview
Image, processing operation are to choose the first preview image.If user's operation is to draw O on a display screen, operation object is the 4th pre-
Look at image, processing behaviour alternatively second preview image etc..User operation is responded, is operated according to the processing and obtains shooting figure
Picture, and shooting image is included in viewing area.For example, O user's operation is drawn on a display screen in response to user, by ISP
The backup image of the second preview image is obtained, and second preview image is shown in viewing area.
Step 490, when getting shooting instruction, perform the bat for first preview image or the second preview image
Take the photograph operation.
It is understood that shooting instruction can be the operation instruction that user presses shooting push button triggering, use can also be
Press the operation instruction of setting object button triggering or the operation instruction of setting gesture triggering of user etc. in family.
When detecting shooting instruction, mobile terminal preserves the preview image of current display screen display, realizes to shooting
The shooting operation of object, obtain shooting picture, and shooting picture can be stored in picture library or photograph album.Wherein, it is current aobvious
The preview image shown is probably the first preview image, it is also possible to the second preview image.
The technical scheme of the present embodiment, by obtaining the first preview image corresponding with the first acquisition parameters respectively and with
Second preview image corresponding to two acquisition parameters, control and first preview image is shown in first area, shown in second area
Second preview image, realize in the viewing area of display screen while show the first preview image and the second preview image, for
User's selection meets the preview image of oneself shooting custom, avoids not meeting user's bat according to the acquisition parameters of scene adjust automatically
The situation for taking the photograph custom occurs, and improves Man machine interaction.
Fig. 6 is a kind of structured flowchart of the adjusting apparatus for acquisition parameters that the embodiment of the present application provides.The device can lead to
Cross software and/or hardware is realized, can be integrated in mobile terminal, the acquisition parameters provided for performing the embodiment of the present application
Method of adjustment.As shown in fig. 6, the device includes：
Image collection module 610, for obtaining the first preview image of object to be captured, wherein, first preview graph
It seem the picture of the object to be captured captured by camera according to the first acquisition parameters；
Scene Recognition module 620, for the first preview image described in the scene Recognition Model Identification by pre-setting
Photographed scene, wherein, the scene Recognition model is the deep learning model according to picture sample collection training；
Parameter adjustment module 630, for when the photographed scene is default scene, according to corresponding to the default scene
First acquisition parameters of the second shooting parameter adjustment camera, to be entered according to second acquisition parameters to the object to be captured
Row shooting.
The technical scheme of the present embodiment provides a kind of adjusting apparatus of acquisition parameters, is shot based on scene Recognition model
Scene Recognition, the degree of accuracy of scene Recognition can be lifted, expand the species of scene Recognition, so as to be adjusted automatically according to photographed scene
The acquisition parameters of whole camera, lift shooting effect.
Optionally, the device also includes：
Model acquisition module, for obtaining the scene Recognition model of server transmission, wherein, the scene Recognition model is
Deep learning model by server according to picture sample collection training, and the picture sample collection includes entering line position to destination object
The picture sample of tagging.
Optionally, parameter adjustment module 630 is specifically used for：
The photographed scene is matched with the default scene in default scene library；
It is determined that with the photographed scene default scene that the match is successful, the second shooting ginseng corresponding to the default scene is obtained
Number, and replace first acquisition parameters according to second acquisition parameters.
Optionally, the device also includes：
Scene library update module, for the of the second shooting parameter adjustment camera according to corresponding to the default scene
After one acquisition parameters, the parameters revision operation of user's input is obtained；According to second count described in the parameters revision operation adjustment
Parameter is taken the photograph, third shot is obtained and takes the photograph parameter；It is recorded in and uses the third shot to take the photograph time that parameter is shot in setting time section
Number；When the number exceedes setting frequency threshold value, by the third shot take the photograph parameter be stored in the default scene relating it is pre-
If scene library.
Optionally, the device also includes：
First image display, for after first acquisition parameters are replaced according to second acquisition parameters,
Obtain the second preview image, wherein, second preview graph be captured by camera according to the second acquisition parameters it is to be captured right
The picture of elephant；Control first preview image to be shown in default first area, and second preview image is shown
Show in default second area, wherein, the first area forms the viewing area of display screen with second area.
Optionally, the first image display is specifically used for：
Create the first figure layer；
First preview image is obtained, and image down processing is carried out to first preview image, it is pre- to obtain the 3rd
Look at image；
The 3rd preview image is drawn in the first area of first figure layer, wherein, the area of the first area
Less than the area of first figure layer；
Create the second figure layer；
Second preview image is obtained, and image down processing is carried out to second preview image, it is pre- to obtain the 4th
Look at image；
The 4th preview image is drawn in the second area of second figure layer, wherein, the area of the second area
Less than the area of second figure layer, and second figure layer the 3rd region corresponding with the first area is transparent figure layer；
Synthesize first figure layer and the second figure layer and obtain picture to be shown, and show the picture to be shown.
Optionally, the device also includes：
Second image display, for after the picture to be shown is shown, acquisition to be directed to the 3rd preview graph
The user of picture or the 4th preview image operation；Operated according to the user and obtain the first preview image or the second preview image, and
First preview image or the second preview image are shown in the viewing area of the display screen；
Image taking module, for when getting shooting instruction, performing pre- for first preview image or second
Look at the shooting operation of image.
The embodiment of the present application also provides a kind of storage medium for including computer executable instructions, and the computer can perform
When being performed by computer processor for performing a kind of method of adjustment of acquisition parameters, this method includes for instruction：
The first preview image of object to be captured is obtained, wherein, first preview image is according to first by camera
The picture of the object to be captured of acquisition parameters capture；
By the photographed scene of the first preview image described in the scene Recognition Model Identification that pre-sets, wherein, the field
Scape identification model is the deep learning model according to picture sample collection training；
When the photographed scene is default scene, the second shooting parameter adjustment shooting according to corresponding to the default scene
First acquisition parameters of head, to be shot according to second acquisition parameters to the object to be captured.
Storage medium --- any various types of memory devices or storage device.Term " storage medium " is intended to wrap
Include：Install medium, such as CD-ROM, floppy disk or magnetic tape equipment；Computer system memory or random access memory, such as
DRAM, DDR RAM, SRAM, EDO RAM, blue Bath (Rambus) RAM etc.；Nonvolatile memory, such as flash memory, magnetizing mediums
(such as hard disk or optical storage)；Memory component of register or other similar types etc..Storage medium can also include other
The memory of type or its combination.In addition, storage medium can be located at program in the first computer system being wherein performed,
Or can be located in different second computer systems, second computer system is connected to the by network (such as internet)
One computer system.Second computer system can provide programmed instruction and be used to perform to the first computer." storage is situated between term
Matter " can include may reside within diverse location two of (such as in different computer systems by network connection) or
More storage mediums.Storage medium can store the programmed instruction that can be performed by one or more processors and (such as implement
For computer program).
Certainly, a kind of storage medium for including computer executable instructions that the embodiment of the present application is provided, its computer
The adjustment operation for the acquisition parameters that executable instruction is not limited to the described above, can also carry out the application any embodiment and is provided
Acquisition parameters method of adjustment in associative operation.
The embodiment of the present application provides a kind of mobile terminal, has operating system in the mobile terminal, in the mobile terminal
The adjusting apparatus of the acquisition parameters of the embodiment of the present application offer can be provided.Wherein, mobile terminal can be (flat for smart mobile phone, PAD
Plate computer), intelligent wearable device etc..Fig. 7 is a kind of structured flowchart for mobile terminal that the embodiment of the present application provides.Such as Fig. 7
Shown, the mobile terminal can include memory 710 and processor 720.The memory 710, for store computer program,
Scene Recognition model, default scene library etc.；The central processing unit 720 reads and performed the meter stored in the memory 710
Calculation machine program.The processor 720 realizes following steps when performing the computer program：
The first preview image of object to be captured is obtained, wherein, first preview image is according to first by camera
The picture of the object to be captured of acquisition parameters capture；
By the photographed scene of the first preview image described in the scene Recognition Model Identification that pre-sets, wherein, the field
Scape identification model is the deep learning model according to picture sample collection training；
When the photographed scene is default scene, the second shooting parameter adjustment shooting according to corresponding to the default scene
First acquisition parameters of head, to be shot according to second acquisition parameters to the object to be captured.
The memory and processor enumerated in above-mentioned example are the part component of mobile terminal, and the mobile terminal is also
Other components can be included.By taking smart mobile phone as an example, illustrate the possible structure of above-mentioned mobile terminal.Fig. 8 is that the application is implemented
A kind of structured flowchart for smart mobile phone that example provides.As shown in figure 8, the smart mobile phone can include：Memory 801, centre
Manage device (Central Processing Unit, CPU) 802 (also known as processor, hereinafter referred to as CPU), Peripheral Interface 803, RF
(Radio Frequency, radio frequency) circuit 805, voicefrequency circuit 806, loudspeaker 811, display 812, camera 813, image
Processor (Graphics Processing Unit, GPU) 814, power management chip 808, input/output (I/O) subsystem
809th, other input/control devicess 810 and outside port 804, these parts pass through one or more communication bus or signal
Line 807 communicates.
It should be understood that diagram smart mobile phone 800 is only an example of mobile terminal, and smart mobile phone 800
Can have than more or less parts shown in figure, can combine two or more parts, or can be with
Configured with different parts.Various parts shown in figure can be including one or more signal transactings and/or special
Hardware, software including integrated circuit are realized in the combination of hardware and software.
The smart mobile phone of the adjusting apparatus for being integrated with acquisition parameters provided below with regard to the present embodiment is described in detail.
Memory 801, the memory 801 can be accessed by CPU802, Peripheral Interface 803 etc., and the memory 801 can
Including high-speed random access memory, can also include nonvolatile memory, such as one or more disk memories,
Flush memory device or other volatile solid-state parts.Computer program is stored in memory 811, can be with storage scenarios
Identification model, default scene library, operation white list, the backup image of the first preview image and the backup image of the second preview image
Deng.
The input of equipment and output peripheral hardware can be connected to CPU802 and deposited by Peripheral Interface 803, the Peripheral Interface 803
Reservoir 801.
I/O subsystems 809, the I/O subsystems 809 can be by the input/output peripherals in equipment, such as display screen 812
With other input/control devicess 810, Peripheral Interface 803 is connected to.I/O subsystems 809 can include the He of display controller 8091
For controlling one or more input controllers 8092 of other input/control devicess 810.Wherein, one or more input controls
Device 8092 processed receives electric signal from other input/control devicess 810 or sends electric signal to other input/control devicess 810,
Other input/control devicess 810 can include physical button (pressing button, rocker buttons etc.), dial, slide switch, behaviour
Vertical pole, click on roller.What deserves to be explained is input controller 8092 can with it is following any one be connected：Keyboard, infrared port,
The instruction equipment of USB interface and such as mouse.
Display screen 812, the display screen 812 are the input interface and output interface between user terminal and user, can
It can include figure, text, icon, video etc. to user, visual output depending on output display.
Camera 813, the camera 813 obtains the optical imagery of object to be captured, and optical imagery is converted into electricity
Signal, inputted by Peripheral Interface 803 to image processor 814.In addition, camera 813 by Peripheral Interface 803 from CPU802
Acquisition parameters are obtained, update the acquisition parameters of itself accordingly.
Image processor 814, described image processor 814 is used for the electric signal for obtaining shooting image, according to the telecommunications
Number shooting image is drawn, drawn shooting image sent to display 812 by I/O subsystems 809 and shown.
Display controller 8081 in I/O subsystems 809 receives electric signal from display screen 812 or sent out to display screen 812
Electric signals.Display screen 812 detects the contact on display screen, and the contact detected is converted to and shown by display controller 8091
The interaction of user interface object on display screen 812, that is, realize man-machine interaction, the user interface being shown on display screen 812
Icon that object can be the icon of running game, be networked to corresponding network etc..What deserves to be explained is equipment can also include light
Mouse, light mouse is not show the touch sensitive surface visually exported, or the extension of the touch sensitive surface formed by display screen.
RF circuits 805, it is mainly used in establishing the communication of mobile phone and wireless network (i.e. network side), realizes mobile phone and wireless network
The data receiver of network and transmission.Such as transmitting-receiving short message, Email etc..Specifically, RF circuits 805 receive and send RF letters
Number, RF signals are also referred to as electromagnetic signal, and RF circuits 805 convert electrical signals to electromagnetic signal or electromagnetic signal is converted into telecommunications
Number, and communicated by the electromagnetic signal with communication network and other equipment.RF circuits 805 can include being used to perform
The known circuit of these functions, it includes but is not limited to antenna system, RF transceivers, one or more amplifiers, tuner, one
Individual or multiple oscillators, digital signal processor, CODEC (COder-DECoder, coder) chipset, user identify mould
Block (Subscriber Identity Module, SIM) etc..
Voicefrequency circuit 806, it is mainly used in receiving voice data from Peripheral Interface 803, the voice data is converted into telecommunications
Number, and the electric signal is sent to loudspeaker 811.
Loudspeaker 811, for the voice signal for receiving mobile phone from wireless network by RF circuits 805, it is reduced to sound
And play the sound to user.
Power management chip 808, the hardware for being connected by CPU802, I/O subsystem and Peripheral Interface are powered
And power management.
The mobile terminal that the embodiment of the present application provides, scene Recognition model can be based on and carry out photographed scene identification, and root
According to the acquisition parameters of photographed scene adjust automatically camera, the degree of accuracy of scene Recognition can be lifted, expand the kind of scene Recognition
Class, lift shooting effect.
Adjusting apparatus, storage medium and the mobile terminal of the acquisition parameters provided in above-described embodiment can perform the application and appoint
The method of adjustment for the acquisition parameters that meaning embodiment is provided, possess and perform the corresponding functional module of this method and beneficial effect.Not
The ins and outs of detailed description in the above-described embodiments, reference can be made to the adjustment for the acquisition parameters that the application any embodiment is provided
Method.
Pay attention to, above are only preferred embodiment and the institute's application technology principle of the application.It will be appreciated by those skilled in the art that
The application is not limited to specific embodiment described here, can carry out for a person skilled in the art various obvious changes,
The protection domain readjusted and substituted without departing from the application.Therefore, although being carried out by above example to the application
It is described in further detail, but the application is not limited only to above example, in the case where not departing from the application design, also
Other more equivalent embodiments can be included, and scope of the present application is determined by scope of the appended claims.
Claims (10)
- A kind of 1. method of adjustment of acquisition parameters, it is characterised in that including：The first preview image of object to be captured is obtained, wherein, first preview image is according to the first shooting by camera The picture of the object to be captured of parameter capture；By the photographed scene of the first preview image described in the scene Recognition Model Identification that pre-sets, wherein, the scene is known Other model is the deep learning model according to picture sample collection training；When the photographed scene is default scene, the second shooting parameter adjustment camera according to corresponding to the default scene First acquisition parameters, to be shot according to second acquisition parameters to the object to be captured.
- 2. according to the method for claim 1, it is characterised in that also include：The scene Recognition model that server is sent is obtained, wherein, the scene Recognition model is according to picture sample by server Collect the deep learning model of training, and the picture sample collection includes carrying out destination object the picture sample of position mark.
- 3. according to the method for claim 1, it is characterised in that when the photographed scene is default scene, according to described First acquisition parameters of the second shooting parameter adjustment camera corresponding to default scene, including：The photographed scene is matched with the default scene in default scene library；It is determined that with the photographed scene default scene that the match is successful, the second acquisition parameters corresponding to the default scene are obtained, And replace first acquisition parameters according to second acquisition parameters.
- 4. according to the method in any one of claims 1 to 3, it is characterised in that according to corresponding to the default scene After first acquisition parameters of the second shooting parameter adjustment camera, in addition to：Obtain the parameters revision operation of user's input；According to the second acquisition parameters described in the parameters revision operation adjustment, obtain third shot and take the photograph parameter；It is recorded in setting time section and the number that parameter is shot is taken the photograph using the third shot；When the number exceedes setting frequency threshold value, by the third shot take the photograph parameter be stored in the default scene relating it is pre- If scene library.
- 5. according to the method in any one of claims 1 to 3, it is characterised in that replaced according to second acquisition parameters Change after first acquisition parameters, in addition to：The second preview image is obtained, wherein, second preview graph is to wait to clap according to what the second acquisition parameters captured by camera Take the photograph the picture of object；Control first preview image to be shown in default first area, and second preview image is included pre- If second area, wherein, the first area and second area form the viewing area of display screen.
- 6. according to the method for claim 5, it is characterised in that control first preview image is in default first area It has been shown that, and second preview image is included in default second area, including：Create the first figure layer；First preview image is obtained, and image down processing is carried out to first preview image, obtains the 3rd preview graph Picture；The 3rd preview image is drawn in the first area of first figure layer, wherein, the area of the first area is less than The area of first figure layer；Create the second figure layer；Second preview image is obtained, and image down processing is carried out to second preview image, obtains the 4th preview graph Picture；The 4th preview image is drawn in the second area of second figure layer, wherein, the area of the second area is less than The area of second figure layer, and second figure layer the 3rd region corresponding with the first area is transparent figure layer；Synthesize first figure layer and the second figure layer and obtain picture to be shown, and show the picture to be shown.
- 7. according to the method for claim 6, it is characterised in that after the picture to be shown is shown, in addition to：Obtain for the user of the 3rd preview image or the 4th preview image operation；Operated according to the user and obtain the first preview image or the second preview image, and shown in the viewing area of the display screen Show first preview image or the second preview image；When getting shooting instruction, the shooting operation for first preview image or the second preview image is performed.
- A kind of 8. adjusting apparatus of acquisition parameters, it is characterised in that including：Image collection module, for obtaining the first preview image of object to be captured, wherein, first preview image is by taking the photograph As the picture for the object to be captured that head captures according to the first acquisition parameters；Scene Recognition module, the shooting field for the first preview image described in the scene Recognition Model Identification by pre-setting Scape, wherein, the scene Recognition model is the deep learning model according to picture sample collection training；Parameter adjustment module, for when the photographed scene is default scene, according to second count corresponding to the default scene The first acquisition parameters of parameter adjustment camera are taken the photograph, to be clapped according to second acquisition parameters the object to be captured Take the photograph.
- 9. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that the program is held by processor The method of adjustment of the acquisition parameters as any one of claim 1 to 7 is realized during row.
- 10. a kind of mobile terminal, including memory, processor and storage are on a memory and can be in the computer of processor operation Program, it is characterised in that realized described in the computing device during computer program as any one of claim 1 to 7 Acquisition parameters method of adjustment.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711275920.4A CN107820020A (en) | 2017-12-06 | 2017-12-06 | Method of adjustment, device, storage medium and the mobile terminal of acquisition parameters |
| PCT/CN2018/116588 WO2019109801A1 (en) | 2017-12-06 | 2018-11-21 | Method and device for adjusting photographing parameter, storage medium, and mobile terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711275920.4A CN107820020A (en) | 2017-12-06 | 2017-12-06 | Method of adjustment, device, storage medium and the mobile terminal of acquisition parameters |
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| CN107820020A true CN107820020A (en) | 2018-03-20 |
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