CN108289169A - Image pickup method, device, electronic equipment and storage medium - Google Patents
Image pickup method, device, electronic equipment and storage medium Download PDFInfo
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- CN108289169A CN108289169A CN201810019830.7A CN201810019830A CN108289169A CN 108289169 A CN108289169 A CN 108289169A CN 201810019830 A CN201810019830 A CN 201810019830A CN 108289169 A CN108289169 A CN 108289169A
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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
- H04N23/80—Camera processing pipelines; Components thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/162—Detection; Localisation; Normalisation using pixel segmentation or colour matching
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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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
- H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
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Abstract
A kind of image pickup method of disclosure offer, device, electronic equipment and storage medium, the method includes：Current shooting picture is obtained, identifies the target signature associated by the current shooting picture；It searches and the matched acquisition parameters of the target signature；Current shooting pattern is adjusted according to the acquisition parameters, so that user shoots according to the current shooting pattern.The embodiment of the present disclosure is by identifying the target signature in shooting picture, by searching automatically and the matched acquisition parameters of target signature, so as to adjust current shooting pattern according to the acquisition parameters, so that user shoots according to the current shooting pattern, allow user faster to shoot the photo for meeting demand, also further enriches the shooting function of electronic equipment.
Description
Technical field
This disclosure relates to technique for taking field more particularly to image pickup method, device, electronic equipment and storage medium.
Background technology
With the development of terminal technology, the configuration of the electronic equipments such as smart mobile phone or tablet computer and performance are constantly promoted,
Electronic equipment is usually equipped with camera, and using electronic equipment take pictures has become the living habit of many people.However,
Shooting function of the existing electronic equipment provided in the process of taking pictures is single, cannot be satisfied more shooting demands of user.
Invention content
To overcome the problems in correlation technique, present disclose provides image pickup method, device, electronic equipment and storages to be situated between
Matter.
According to the first aspect of the embodiments of the present disclosure, a kind of image pickup method is provided, the method includes：
Current shooting picture is obtained, identifies the target signature associated by the current shooting picture；
It searches and the matched acquisition parameters of the target signature；
Current shooting pattern is adjusted according to the acquisition parameters, so that user claps according to the current shooting pattern
It takes the photograph.
In an optional realization method, the lookup and the matched acquisition parameters of the target signature, including：
Preset acquisition parameters collection is obtained, the acquisition parameters collection includes at least one acquisition parameters, the acquisition parameters
With label, the label indicates the target signature that the acquisition parameters are applicable in；
Lookup and the matched label of the target signature, concentrating to search from the acquisition parameters has the matched label
Acquisition parameters as with the matched acquisition parameters of the target signature.
In an optional realization method, the target signature identified associated by the current shooting picture, packet
It includes：
The current shooting picture is input to preset scene Recognition model, is gone out using the scene Recognition Model Identification
The current shooting picture scene information as the target signature.
In an optional realization method, the target signature identified associated by the current shooting picture, packet
It includes：
The face location in the current shooting picture is detected, determines the face location as the target signature.
In an optional realization method, the target signature identified associated by the current shooting picture, packet
It includes：
It identifies the line segment in the shooting picture, the angle of the line segment and the current shooting picture level line is made
For the target signature.
In an optional realization method, the target signature identified associated by the current shooting picture, packet
It includes：
The Grad of the current shooting picture is obtained as the target signature.
In an optional realization method, the method further includes：
Sample image is obtained, the sample image is marked with scene characteristic；
The scene Recognition model is obtained after being trained to machine learning model by the sample image.
In an optional realization method, the acquisition parameters include following one or more：
Exposure value, f-number, fast gate value, sensitivity or focal length.
In an optional realization method, the acquisition parameters include face location information.
In an optional realization method, the acquisition parameters include angle of inclination.
In an optional realization method, the acquisition parameters include patterning positions information.
According to the second aspect of the embodiment of the present disclosure, a kind of filming apparatus is provided, described device includes：
Identification module is configured as：Current shooting picture is obtained, identifies the target associated by the current shooting picture
Feature；
Searching module is configured as：It searches and the matched acquisition parameters of the target signature；
Module is adjusted, is configured as：Current shooting pattern is adjusted according to the acquisition parameters, so that user works as according to described
Preceding screening-mode is shot.
In an optional realization method, the searching module, including：
Acquisition submodule is configured as：Preset acquisition parameters collection is obtained, the acquisition parameters collection includes at least one bat
Parameter is taken the photograph, there is the acquisition parameters label, the label to indicate the target signature that the acquisition parameters are applicable in；
Label lookup submodule, is configured as：Lookup and the matched label of the target signature, from the acquisition parameters collection
It is middle search with the matched label acquisition parameters as with the matched acquisition parameters of the target signature.
In an optional realization method, the identification module, including the first identification submodule, it is configured as：By institute
It states current shooting picture and is input to preset scene Recognition model, the current bat gone out using the scene Recognition Model Identification
The scene information of picture is taken the photograph as the target signature.
In an optional realization method, the identification module, including the second identification submodule, it is configured as：Detection
Face location in the current shooting picture determines the face location as the target signature.
In an optional realization method, the identification module, including third identify submodule, are configured as：Identification
Go out the line segment with big gradient in the shooting picture, calculates the angle of the line segment and the current shooting picture level line
As the target signature.
In an optional realization method, the identification module, including the 4th identification submodule, it is configured as：It obtains
Grad is as the target signature in the current shooting picture.
In an optional realization method, the identification module further includes model training submodule, is configured as：
Sample image is obtained, the sample image is marked with scene characteristic；By the sample image to machine learning mould
Type obtains the scene Recognition model after being trained.
In an optional realization method, the acquisition parameters include following one or more：
Exposure value, f-number, fast gate value, sensitivity or focal length.
In an optional realization method, the acquisition parameters include face location information.
In an optional realization method, the acquisition parameters include angle of inclination.
In an optional realization method, the acquisition parameters include patterning positions information.
According to the third aspect of the embodiment of the present disclosure, a kind of electronic equipment is provided, including：
Processor；
Memory for storing processor-executable instruction；
Wherein, the processor is configured as：
Current shooting picture is obtained, identifies the target signature associated by the current shooting picture；
It searches and the matched acquisition parameters of the target signature；
Current shooting pattern is adjusted according to the acquisition parameters, so that user claps according to the current shooting pattern
It takes the photograph.
According to the fourth aspect of the embodiment of the present disclosure, a kind of computer readable storage medium is provided, is stored thereon with calculating
The step of machine program, which realizes the aforementioned image pickup method when being executed by processor.
The technical scheme provided by this disclosed embodiment can include the following benefits：
In the disclosure, by identifying the target signature in shooting picture, by searching automatically and the matched bat of target signature
Parameter is taken the photograph, so as to adjust current shooting pattern according to the acquisition parameters, so that user is according to the current shooting pattern
It is shot so that user can faster shoot the photo for meeting demand, also further enrich the shooting work(of electronic equipment
Energy.
In the disclosure, by the way that acquisition parameters label allocation, label indicates the target signature that the acquisition parameters are applicable in,
Therefore matched acquisition parameters can rapidly be searched according to target signature and label.
In the disclosure, scene information, face location, line segment and horizontal angle or current shooting picture can be identified
It is one or more as target signature in Grad, so as to search the acquisition parameters of its needs of more multiple coincidence for user.
In the disclosure, using the advance Training scene identification model of machine learning model, bat can be accurately and quickly identified
Take the photograph the scene information in picture.
In the disclosure, acquisition parameters include exposure value, f-number, fast gate value, sensitivity, focal length, face location information, incline
It is one or more in rake angle or patterning positions information, therefore the shooting ginseng that it is needed compared with multiple coincidence can be provided to the user
Number.
It should be understood that above general description and following detailed description is only exemplary and explanatory, not
The disclosure can be limited.
Description of the drawings
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and together with specification for explaining the principles of this disclosure.
Figure 1A is a kind of flow chart of image pickup method of the disclosure shown according to an exemplary embodiment.
Figure 1B is a kind of photographed scene schematic diagram of the disclosure shown according to an exemplary embodiment.
Fig. 1 C are a kind of shooting schematic diagram of the disclosure shown according to an exemplary embodiment.
Fig. 1 D are a kind of shooting schematic diagram of the disclosure shown according to an exemplary embodiment.
Fig. 2 is a kind of block diagram of filming apparatus of the disclosure shown according to an exemplary embodiment.
Fig. 3 is the block diagram of another filming apparatus of the disclosure shown according to an exemplary embodiment.
Fig. 4 is the block diagram of another filming apparatus of the disclosure shown according to an exemplary embodiment.
Fig. 5 is the block diagram of another filming apparatus of the disclosure shown according to an exemplary embodiment.
Fig. 6 is the block diagram of another filming apparatus of the disclosure shown according to an exemplary embodiment.
Fig. 7 is the block diagram of another filming apparatus of the disclosure shown according to an exemplary embodiment.
Fig. 8 is the block diagram of another filming apparatus of the disclosure shown according to an exemplary embodiment.
Fig. 9 is a kind of structural schematic diagram of filming apparatus of the disclosure shown according to an exemplary embodiment.
Specific implementation mode
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all implementations consistent with this disclosure.On the contrary, they be only with it is such as appended
The example of the consistent device and method of some aspects be described in detail in claims, the disclosure.
It is the purpose only merely for description specific embodiment in the term that the disclosure uses, is not intended to be limiting the disclosure.
The "an" of singulative used in disclosure and the accompanying claims book, " described " and "the" are also intended to including majority
Form, unless context clearly shows that other meanings.It is also understood that term "and/or" used herein refers to and wraps
Containing one or more associated list items purposes, any or all may be combined.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the disclosure
A little information should not necessarily be limited by these terms.These terms are only used for same type of information being distinguished from each other out.For example, not departing from
In the case of disclosure range, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as
One information.Depending on context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determination ".
As shown in Figure 1A, Figure 1A is a kind of flow chart of image pickup method of the disclosure shown according to an exemplary embodiment,
The electronic equipment with shooting function is can be applied to, is included the following steps：
In a step 101, current shooting picture is obtained, identifies the target signature associated by the current shooting picture.
In a step 102, it searches and the matched acquisition parameters of the target signature；
In step 103, current shooting pattern is adjusted according to the acquisition parameters, so that user is according to the current shooting
Pattern is shot.
The electronic equipment of the embodiment of the present disclosure may include smart mobile phone, tablet computer, digital camera or other with bat
The equipment of camera shooting function.As shown in Figure 1B, Figure 1B is a kind of photographed scene schematic diagram, and electronic equipment is by taking smart mobile phone as an example in Figure 1B
It illustrates, user can be by clicking camera icon to start the shooting function that electronic equipment is provided.It is shot starting
After function, electronic equipment is under preview shooting pattern, and the shooting picture of camera is shown on display screen in fig. ib.
In practical application, user relies primarily on the shooting skill of itself and takes pictures, and shoot photo be usually directed to it is a variety of
The adjustment of screening-mode, such as exposure value, aperture, shutter, sensitivity, focal length, face location, angle of inclination or patterning positions
Deng for the less user of shooting experience, the shooting effect of captured photo may be poor, and user is caused to need to be repeated as many times and clap
It takes the photograph.
The embodiment of the present disclosure is matched with target signature by searching automatically by identifying the target signature in shooting picture
Acquisition parameters, so as to adjust current shooting pattern according to the acquisition parameters, so that user is according to the current shooting mould
Formula is shot so that user can faster shoot the photo for meeting demand, also further enrich the shooting of electronic equipment
Function.
In the embodiment of the present disclosure, acquisition parameters collection can be provided in advance, the default typesetting style set includes at least
One acquisition parameters, the configuration process of acquisition parameters collection can be with flexible configuration in practical application.As an example, Ke Yishi
It is provided by professional photography personnel, the preferable sample image of existing shooting effect can also be utilized, extracted from sample image
The conducts such as face location, patterning positions, picture angle of inclination, exposure value, aperture, shutter, sensitivity, the focal length of the sample image
Target signature.
In some examples, acquisition parameters collection can be stored in electronic equipment, in other examples, acquisition parameters
Collection can also be configuration on the server, and when needing to guide user's shooting, electronic equipment is connect with server, passes through server
Obtain acquisition parameters.
Wherein, acquisition parameters are associated at least one label, and the label indicates the image that the acquisition parameters are applicable in
Target signature, the embodiment of the present disclosure are distinguished by the target signature that label can be applicable in acquisition parameters, are getting use
After the shooting picture at family, it can be drawn to provide suitable shooting to the user by the target signature of analysis current shooting picture
It leads.Wherein, above-mentioned label can flexibly match according to the acquisition parameters configured in practical application and the target signature being applicable in
It sets.Next several examples are listed in conjunction with acquisition parameters, the target signature being applicable in and label.
The first, photographed scene.
In some instances, it is contemplated that under the scenes such as varying environment and time, due to the factors such as light luminance, shooting ginseng
Several settings will influence whether that the effect of photo, such as shooting blue sky can adjust contrast, be needed under night or dim occasion
Open flash lamp raising brightness, shooting small items can adjust focal length, shooting dusk scene can adjust soft degree etc..
Therefore, acquisition parameters may include acquisition parameters data, and different acquisition parameters data correspond to the ginseng of the shooting under different photographed scenes
Number.Specifically, acquisition parameters may include exposure value, aperture size, shutter speed, sensitivity or focal length etc., practical application
In this can be not construed as limiting with flexible configuration, the embodiment of the present disclosure.
Based on this, such acquisition parameters are configured according to different photographed scenes, thus acquisition parameters with it is specific
Scene information it is associated, the label of configuration can indicate the scene characteristic that the acquisition parameters are applicable in, for example, with blue sky field
The associated acquisition parameters of scape can then be applicable in the label of blue sky scene with the configuration instruction data.
Correspondingly, electronic equipment can identify the field in the current shooting picture after obtaining current shooting picture
Scape information can be realized by image recognition technology in practical application.In order to improve image recognition Efficiency and accuracy, the disclosure
Embodiment can train scene Recognition model in advance using machine learning, by scene Recognition model realization in shooting picture
Scene information accurately identify.Specifically, training has scene Recognition model to the present embodiment in advance, which can be with
It is set in electronic equipment, can also be set in server-side.In some instances, scene Recognition model can be pre- by service side
It is first trained, the scene Recognition model after training can store in the electronic device, corresponding to identification shooting picture
Scene.
Wherein, service side can prepare in advance for trained sample data.Sample data may include：It is marked with scene
The image of feature.The acquisition of sample image can then be realized by modes such as network collections.In general, sample data needs to reach one
Fixed quantity is to ensure the accuracy of the model trained, and sample is more, then the accuracy of model may be higher.Another party
Face starts to apply, the shooting picture of user is identified after scene identification model trains, and model starts input application
Afterwards, acquired shooting picture can also be used as sample, to realize continuous training and optimization to scene Recognition model.
After being prepared with above-mentioned sample data, scene Recognition model can utilize sample image to train machine learning model
It obtains.In the training process, the higher suitable model of one accuracy rate of training, the feature selecting that needs to rely on and model choosing
It selects.Wherein, machine learning model may include Logic Regression Models, Random Forest model, bayes method model, supporting vector
Machine model or neural network model etc., the selection of model influence the accuracy for the identification model finally trained, therefore,
A variety of models can be selected to be trained in practical application, and training process more takes, and needs the iterative process by repeating,
Finally determine suitable model.
The another aspect of training process is to choose suitable feature for training.Image in the present embodiment for training
Feature may include having the difference of each region pixel value, gray-scale map or gradient etc. in image pixel value, image.
By the above-mentioned means, service side gets out sample image, selection is used on trained characteristics of image and model, you can
Scene Recognition model is trained in advance, after the completion of scene identification model is trained, which can be set to electronics
It in equipment or can also be set in server-side, when needed, current shooting picture is input in the scene Recognition model
The scene letter for carrying out scene Recognition, going out the scene information corresponding to the picture using scene Recognition Model Identification, and will identify that
Breath is used as target signature.
After acquisition includes the target signature of scene information, then it can concentrate and search and the scene information from acquisition parameters
Corresponding label, and then determine acquisition parameters.It, can be according to the shooting since the acquisition parameters searched can be applicable in the scene
Parameter adjustment current shooting pattern so that user can shoot the preferable photo of effect.
Second, face location.
In other examples, it is contemplated that under the scene of shooting personage, face location will also influence the effect of photo,
The face location of the present embodiment refers to the position that face occupies image in image.For example, in the photo of shooting personage, face position
It is preferable to set the photo effect in golden section point, and the size of picture occupied by face location can also influence photo effect.
Thus, it is supposed that recognizing face location in picture is not on preferable position, such as in picture, face location is smaller, face position
Preferable face location suitable for current shooting picture can be obtained in the positions such as picture edge as acquisition parameters by setting,
And exported on current shooting picture according to face location, guiding user adjusts face location.Assuming that recognizing in picture
Face location is in preferable position, then can not adjust current shooting pattern.
Based on this, the acquisition parameters of the present embodiment may include face location information, which can indicate
Present position of the face in shooting picture.Since such acquisition parameters are configured according to face location, shooting ginseng
Number is associated with specific face location, and the label of configuration can indicate the face location that the acquisition parameters are applicable in.As
Example, acquisition parameters include face location information, and the label of configuration is：Face location accounts at a distance from image border in picture
According to 20% (indicating face location in picture edge) of shooting picture, face location information can be specifically one and be in picture
The face patterning positions of middle golden section point.
Correspondingly, electronic equipment can identify the people in the current shooting picture after obtaining current shooting picture
Face position can be realized by face recognition technology in practical application.The face location identified can be used as target signature, from
Acquisition parameters concentration searches whether acquisition parameters corresponding with the face location.Assuming that face location is in gold in shooting picture
Cut-point etc. can then be adjusted compared with good position without screening-mode.Assuming that in shooting picture face location be in picture edge,
The smaller equal positions of face location, according to the face location lookup to corresponding label, and then find acquisition parameters.Such as Fig. 1 C institutes
Show, be a kind of shooting schematic diagram of the disclosure shown according to an example embodiment, in Fig. 1 C when shooting personage, due to detecting
Face location be closer to right side edge in picture, therefore acquisition parameters are found, due to including face in acquisition parameters
Location information, and face location information indicates preferable face patterning positions, i.e. void in shooting picture shown in Fig. 1 C
Wire frame, the dotted line frame indicate face location information.Electronic equipment can be by adjusting modes such as focal lengths so that in shooting picture
Practical face can be with face location information matches.Optionally, electronic equipment can also export shooting according to acquisition parameters and draw
When leading, as is shown in fig. 1C, face patterning positions can be highlighted in shooting picture, to indicate personage captured by user
Face be in the face patterning positions so that user when shooting being capable of the preferable photo of shooting effect.
The third, line segment.
In view of certain with compared under multi-line section such as building photographed scene, since user may not put preferably
The position of electronic equipment, therefore cause shooting picture center line fragment position parallel or vertical not with image level line, photograph taking
Effect is poor.Wherein, image captured by electronic equipment is generally rectangular, and image level line refers to the side of rectangle.Therefore, acquisition parameters
May include angle of inclination, which, which can serve to indicate that in user's picture, inclination.Based on this, such acquisition parameters are
Configured according to the angle of line segment and image level line in picture, wherein the line segment can be include that there is big gradient
Line segment, which refers to that the gradient of line segment is more than predetermined gradient threshold value, therefore acquisition parameters are related to specific angle of inclination
The label of connection, configuration can indicate the angle that the acquisition parameters are applicable in.As an example, acquisition parameters include angle of inclination,
Its configure label be：The angle of line segment and image level line (there is the object of line segment to exist to incline in expression picture at 5 ° to 85 °
Tiltedly), optionally, inclination prompt data can also be pre-configured with, can be specifically that prompt user needs to pay attention to the inclined language of picture
Sound or word etc..
Correspondingly, electronic equipment after obtaining current shooting picture, can identify in the current shooting picture whether
There are line segments, in the case where there is line segment, determine line segment and horizontal angle in current shooting picture.As an example,
Identify that the mode of line segment may include in practical application：Straight line is detected using based on Hough transformation algorithm.The line segment identified
It can be used as target signature with the angle of image level line, shooting ginseng corresponding with the angle is searched whether from acquisition parameters concentration
Number.Assuming that shooting picture middle conductor tends to be parallel or vertical substantially with the angle of image level line, then it can not export shooting and draw
It leads.Assuming that the angle of shooting picture middle conductor and image level line between 0 ° to 90 °, illustrates that line segment is uneven with image level line
Also out of plumb, the object with line segment are currently at heeling condition to row, need to adjust screening-mode.Specifically, can be current
Line segment is highlighted in shooting picture so that user, which can understand, finds inclined line segment, and according to above-mentioned identified angle
Degree adjustment screening-mode.Optionally, inclination prompt data can also be obtained, and are exported.As shown in figure iD, it is disclosure root
A kind of shooting schematic diagram shown according to an example embodiment identifies that the line segment in shooting picture has with shooting picture in Fig. 1 D
Certain angle, therefore object in user's shooting picture can be prompted to have inclination with text mode, remind user that can adjust electronics
Equipment so that user when shooting being capable of the preferable photo of shooting effect.
4th kind, mode of composition.
In view of under the photographed scenes such as such as seabeach, blue sky and white cloud, mountain range vegetation, mode of composition may also influence shooting effect
Fruit.For example, when shooting seabeach, the reference objects such as sea, blue sky and sandy beach need to ensure that certain ratio just can get preferably
Composition, however obtain preferable composition since user may not put electronic equipment position preferably, lead to shooting picture
Middle sea and blue sky occupy larger proportion, and sandy beach occupies small percentage, segment positions not with horizontal line or vertical lines run parallel
Cause photograph taking effect poor.Therefore, acquisition parameters may include patterning positions information, which can indicate
The composition that current shooting picture is applicable in.Based on this, such acquisition parameters are to be configured according to mode of composition, therefore shoot
Parameter is associated with specific mode of composition, and the label of configuration can indicate the mode of composition that the acquisition parameters are applicable in.Make
For example, acquisition parameters include composition prompt data, and the label of configuration is：Reference object occupy the ratio of picture less than 5%,
Or higher than 80% etc. (indicate in picture some reference object occupy ratio is smaller, some reference object occupies large percentage),
Patterning positions information may include the patterning positions being applicable in shooting picture, optionally, can also prepare composition prompt data,
Specifically one prompt user, which needs to pay attention to picture, has reference object to occupy voice or word of larger or smaller ratio etc..
Correspondingly, electronic equipment can obtain the Grad in current shooting picture after obtaining current shooting picture, it is real
The image of current shooting picture can be obtained in the application of border, using image as two-dimensional discrete function, shade of gray can be understood as
The derivation of the two-dimensional discrete function replaces differential with difference, you can seeks the shade of gray value of image, the Grad being calculated
Target signature can be used as.According to the Grad of shooting picture, the edge in frame out can be detected, can then be distinguished by edge
Go out each reference object, so that it is determined that each reference object occupies ratio in picture.Assuming that respectively shooting pair in shooting picture
The composition of elephant is preferable, then each reference object to occupy proportional difference smaller；Assuming that each reference object occupies ratio in shooting picture
Example difference is big, such as some reference object occupies that ratio is very high, and another reference object to occupy ratio very low, then may be used
To get patterning positions information, and the screening-mode of current shooting picture is adjusted accordingly by modes such as adjustment focal lengths, it can
Choosing, shooting guiding can also be exported, to prompt the ratio of reference object in user's shooting picture to need to adjust, reminds user can
To adjust mode of composition so that user when shooting being capable of the preferable photo of shooting effect.
Corresponding with the embodiment of aforementioned image pickup method, the electronics that the disclosure additionally provides filming apparatus and its applied is set
Standby embodiment.
As shown in Fig. 2, Fig. 2 is a kind of block diagram of filming apparatus of the disclosure shown according to an exemplary embodiment, it is described
Device includes：
Identification module 21, is configured as：Current shooting picture is obtained, identifies the mesh associated by the current shooting picture
Mark feature；
Searching module 22, is configured as：It searches and the matched acquisition parameters of the target signature；
Module 23 is adjusted, is configured as：Current shooting pattern is adjusted according to the acquisition parameters, so that user is according to described
Current shooting pattern is shot.
As seen from the above-described embodiment, by identifying the target signature in shooting picture, by searching automatically and target signature
Matched acquisition parameters, so as to export shooting guiding to user in shooting picture, therefore according to the acquisition parameters tune
Whole current shooting pattern, so that user shoots according to the current shooting pattern so that user can faster shoot symbol
The photo of conjunction demand also further enriches the shooting function of electronic equipment.
As shown in figure 3, Fig. 3 is the block diagram of another device of the disclosure shown according to an exemplary embodiment, the implementation
Example is on the basis of aforementioned embodiment illustrated in fig. 2, the searching module 22, including：
Acquisition submodule 221, is configured as：Preset acquisition parameters collection is obtained, the acquisition parameters collection includes at least one
There is label, the label to indicate the target signature that the acquisition parameters are applicable in for acquisition parameters, the acquisition parameters；
Label lookup submodule 222, is configured as：Lookup and the matched label of the target signature, join from the shooting
In manifold search with the matched label acquisition parameters as with the matched acquisition parameters of the target signature.
As seen from the above-described embodiment, by the way that acquisition parameters label allocation, label indicates what the acquisition parameters were applicable in
Target signature, therefore can rapidly search matched acquisition parameters according to target signature and label.
As shown in figure 4, Fig. 4 is the block diagram of another device of the disclosure shown according to an exemplary embodiment, the implementation
Example is on the basis of aforementioned embodiment illustrated in fig. 2, the identification module 21, including：
First identification submodule 211, is configured as：The current shooting picture is input to preset scene Recognition mould
Type, the scene information of the current shooting picture gone out using the scene Recognition Model Identification is as the target signature.
As shown in figure 5, Fig. 5 is the block diagram of another device of the disclosure shown according to an exemplary embodiment, the implementation
Example is on the basis of aforementioned embodiment illustrated in fig. 2, the identification module 21, including：
Second identification submodule 212, is configured as：Detect the face location in the current shooting picture, determine described in
Face location is as the target signature.
As shown in fig. 6, Fig. 6 is the block diagram of another device of the disclosure shown according to an exemplary embodiment, the implementation
Example is on the basis of aforementioned embodiment illustrated in fig. 2, the identification module 21, including：
Third identifies submodule 213, is configured as：It identifies the line segment in the shooting picture, calculates the line segment
With horizontal angle as the target signature.
As shown in fig. 7, Fig. 7 is the block diagram of another device of the disclosure shown according to an exemplary embodiment, the implementation
Example is on the basis of aforementioned embodiment illustrated in fig. 2, the identification module 21, including：
4th identification submodule 214, is configured as：It is special as the target to obtain Grad in the current shooting picture
Sign.
As seen from the above-described embodiment, scene information, face location, line segment and horizontal angle or current bat can be identified
Take the photograph in the Grad of picture it is one or more be used as target signature, so as to for user search more multiple coincidence its need bat
Take the photograph parameter.
As shown in figure 8, Fig. 8 is the block diagram of another device of the disclosure shown according to an exemplary embodiment, the implementation
On the basis of aforementioned embodiment illustrated in fig. 4, the identification module 21 further includes model training submodule 215, is configured example
For：
Sample image is obtained, the sample image is marked with scene characteristic；By the sample image to machine learning mould
Type obtains the scene Recognition model after being trained.
It as seen from the above-described embodiment, can be accurately and quickly using the advance Training scene identification model of machine learning model
Identify the scene information in shooting picture.
In an optional realization method, the acquisition parameters include following one or more：
Exposure value, f-number, fast gate value, sensitivity or focal length.
In an optional realization method, the acquisition parameters include face location information.
In an optional realization method, the acquisition parameters include angle of inclination.
In an optional realization method, the acquisition parameters include patterning positions information.
As seen from the above-described embodiment, acquisition parameters include exposure value, f-number, fast gate value, sensitivity, focal length, face position
It is one or more in confidence breath, angle of inclination or patterning positions information, therefore can provide to the user compared with its needs of multiple coincidence
Acquisition parameters.
Correspondingly, the embodiment of the present disclosure also provides a kind of electronic equipment, including：
Processor；
Memory for storing processor-executable instruction；
Wherein, the processor is configured as：
Current shooting picture is obtained, identifies the target signature associated by the current shooting picture；
It searches and the matched acquisition parameters of the target signature；
Current shooting pattern is adjusted according to the acquisition parameters, so that user claps according to the current shooting pattern
It takes the photograph.
Correspondingly, the embodiment of the present disclosure also provides a kind of computer readable storage medium, it is stored thereon with computer program,
The step of program realizes the aforementioned image pickup method when being executed by processor.
The function of modules and the realization process of effect specifically refer to and correspond to step in the above method in above-mentioned apparatus
Realization process, details are not described herein.
For device embodiments, since it corresponds essentially to embodiment of the method, so related place is referring to method reality
Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein described be used as separating component
The module of explanation may or may not be physically separated, and the component shown as module can be or can also
It is not physical module, you can be located at a place, or may be distributed on multiple network modules.It can be according to actual
It needs that some or all of module therein is selected to realize the purpose of disclosure scheme.Those of ordinary skill in the art are not paying
In the case of going out creative work, you can to understand and implement.
Fig. 9 is a kind of structural schematic diagram of filming apparatus shown according to an exemplary embodiment.
As shown in figure 9, a kind of filming apparatus 900 shown according to an exemplary embodiment, which can calculate
Machine, mobile phone, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment,
The terminals such as personal digital assistant.
With reference to Fig. 9, device 900 may include following one or more components：Processing component 901, memory 902, power supply
Component 903, multimedia component 904, audio component 905, the interface 906 of input/output (I/O), sensor module 907, and
Communication component 908.
The integrated operation of 901 usual control device 900 of processing component, such as with display, call, data communication, phase
Machine operates and record operates associated operation.Processing component 901 may include that one or more processors 909 refer to execute
It enables, to perform all or part of the steps of the methods described above.In addition, processing component 901 may include one or more modules, just
Interaction between processing component 901 and other components.For example, processing component 901 may include multi-media module, it is more to facilitate
Interaction between media component 904 and processing component 901.
Memory 902 is configured as storing various types of data to support the operation in device 900.These data are shown
Example includes instruction for any application program or method that are operated on device 900, contact data, and telephone book data disappears
Breath, picture, video etc..Memory 902 can be by any kind of volatibility or non-volatile memory device or their group
It closes and realizes, such as static RAM (SRAM), electrically erasable programmable read-only memory (EEPROM) is erasable to compile
Journey read-only memory (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, flash
Device, disk or CD.
Power supply module 903 provides electric power for the various assemblies of device 900.Power supply module 903 may include power management system
System, one or more power supplys and other generate with for device 900, manages and distribute electric power associated component.
Multimedia component 904 is included in the screen of one output interface of offer between described device 900 and user.One
In a little embodiments, screen may include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen
Curtain may be implemented as touch screen, to receive input signal from the user.Touch panel includes one or more touch sensings
Device is to sense the gesture on touch, slide, and touch panel.The touch sensor can not only sense touch or sliding action
Boundary, but also detect duration and pressure associated with the touch or slide operation.In some embodiments, more matchmakers
Body component 904 includes a front camera and/or rear camera.When device 900 is in operation mode, such as screening-mode or
When video mode, front camera and/or rear camera can receive external multi-medium data.Each front camera and
Rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio component 905 is configured as output and/or input audio signal.For example, audio component 905 includes a Mike
Wind (MIC), when device 900 is in operation mode, when such as call model, logging mode and speech recognition mode, microphone by with
It is set to reception external audio signal.The received audio signal can be further stored in memory 902 or via communication set
Part 908 is sent.In some embodiments, audio component 905 further includes a loud speaker, is used for exports audio signal.
I/O interfaces 902 provide interface between processing component 901 and peripheral interface module, and above-mentioned peripheral interface module can
To be keyboard, click wheel, button etc..These buttons may include but be not limited to：Home button, volume button, start button and lock
Determine button.
Sensor module 907 includes one or more sensors, and the state for providing various aspects for device 900 is commented
Estimate.For example, sensor module 907 can detect the state that opens/closes of device 900, and the relative positioning of component, for example, it is described
Component is the display and keypad of device 900, and sensor module 907 can be with 900 1 components of detection device 900 or device
Position change, the existence or non-existence that user contacts with device 900,900 orientation of device or acceleration/deceleration and device 900
Temperature change.Sensor module 907 may include proximity sensor, be configured to detect without any physical contact
Presence of nearby objects.Sensor module 907 can also include optical sensor, such as CMOS or ccd image sensor, at
As being used in application.In some embodiments, which can also include acceleration transducer, gyro sensors
Device, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 908 is configured to facilitate the communication of wired or wireless way between device 900 and miscellaneous equipment.Device
900 can access the wireless network based on communication standard, such as WiFi, 2G or 3G or combination thereof.In an exemplary implementation
In example, communication component 908 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel.
In one exemplary embodiment, the communication component 908 further includes near-field communication (NFC) module, to promote short range communication.Example
Such as, NFC module can be based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology,
Bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 900 can be believed by one or more application application-specific integrated circuit (ASIC), number
Number processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electron component are realized, for executing the above method.
In the exemplary embodiment, it includes the non-transitorycomputer readable storage medium instructed, example to additionally provide a kind of
Such as include the memory 902 of instruction, above-metioned instruction can be executed by the processor 909 of device 900 to complete the above method.For example,
The non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk
With optical data storage devices etc..
Wherein, when the instruction in the storage medium is executed by the processor so that device 900 is able to carry out one kind
Image pickup method, including：
Current shooting picture is obtained, identifies the target signature associated by the current shooting picture；
It searches and the matched acquisition parameters of the target signature；
Current shooting pattern is adjusted according to the acquisition parameters, so that user claps according to the current shooting pattern
It takes the photograph.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to its of the disclosure
Its embodiment.The disclosure is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Person's adaptive change follows the general principles of this disclosure and includes the undocumented common knowledge in the art of the disclosure
Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by following
Claim is pointed out.
It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present disclosure is only limited by the accompanying claims.
The foregoing is merely the preferred embodiments of the disclosure, not limiting the disclosure, all essences in the disclosure
With within principle, any modification, equivalent substitution, improvement and etc. done should be included within the scope of the disclosure protection god.
Claims (24)
1. a kind of image pickup method, which is characterized in that the method includes：
Current shooting picture is obtained, identifies the target signature associated by the current shooting picture；
It searches and the matched acquisition parameters of the target signature；
Current shooting pattern is adjusted according to the acquisition parameters, so that user shoots according to the current shooting pattern.
2. according to the method described in claim 1, it is characterized in that, the lookup is joined with the matched shooting of the target signature
Number, including：
Preset acquisition parameters collection is obtained, the acquisition parameters collection includes at least one acquisition parameters, and the acquisition parameters have
Label, the label indicate the target signature that the acquisition parameters are applicable in；
Lookup and the matched label of the target signature, concentrate from the acquisition parameters and search the bat with the matched label
Take the photograph parameter as with the matched acquisition parameters of the target signature.
3. according to the method described in claim 1, it is characterized in that, the mesh identified associated by the current shooting picture
Feature is marked, including：
The current shooting picture is input to preset scene Recognition model, the institute gone out using the scene Recognition Model Identification
The scene information of current shooting picture is stated as the target signature.
4. according to the method described in claim 1, it is characterized in that, the mesh identified associated by the current shooting picture
Feature is marked, including：
The face location in the current shooting picture is detected, determines the face location as the target signature.
5. according to the method described in claim 1, it is characterized in that, the mesh identified associated by the current shooting picture
Feature is marked, including：
The line segment in the shooting picture is identified, using the angle of the line segment and the current shooting picture level line as institute
State target signature.
6. according to the method described in claim 1, it is characterized in that, the mesh identified associated by the current shooting picture
Feature is marked, including：
The Grad of the current shooting picture is obtained as the target signature.
7. according to the method described in claim 3, it is characterized in that, the method further includes：
Sample image is obtained, the sample image is marked with scene characteristic；
Machine learning model is trained by the sample image, obtains the scene Recognition model.
8. according to the method described in claim 3, it is characterized in that, the acquisition parameters include following one or more：
Exposure value, f-number, fast gate value, sensitivity or focal length.
9. according to the method described in claim 4, it is characterized in that, the acquisition parameters include face location information.
10. according to the method described in claim 5, it is characterized in that, the acquisition parameters include angle of inclination.
11. according to the method described in claim 6, it is characterized in that, the acquisition parameters include patterning positions information.
12. a kind of filming apparatus, which is characterized in that described device includes：
Identification module is configured as：Current shooting picture is obtained, identifies that the target associated by the current shooting picture is special
Sign；
Searching module is configured as：It searches and the matched acquisition parameters of the target signature；
Module is adjusted, is configured as：Current shooting pattern is adjusted according to the acquisition parameters, so that user is according to the current bat
The pattern of taking the photograph is shot.
13. device according to claim 12, which is characterized in that the searching module, including：
Acquisition submodule is configured as：Preset acquisition parameters collection is obtained, the acquisition parameters collection includes that at least one shooting is joined
There is label, the label to indicate the target signature that the acquisition parameters are applicable in for number, the acquisition parameters；
Label lookup submodule, is configured as：Lookup and the matched label of the target signature are looked into from acquisition parameters concentration
Look for the acquisition parameters with the matched label as with the matched acquisition parameters of the target signature.
14. device according to claim 12, which is characterized in that the identification module, including the first identification submodule, quilt
It is configured to：The current shooting picture is input to preset scene Recognition model, is gone out using the scene Recognition Model Identification
The current shooting picture scene information as the target signature.
15. device according to claim 12, which is characterized in that the identification module, including the second identification submodule, quilt
It is configured to：The face location in the current shooting picture is detected, determines the face location as the target signature.
16. device according to claim 12, which is characterized in that the identification module, including third identify submodule, quilt
It is configured to：It identifies the line segment in the shooting picture, calculates the angle of the line segment and the current shooting picture level line
Degree is used as the target signature.
17. device according to claim 12, which is characterized in that the identification module, including the 4th identification submodule, quilt
It is configured to：Grad is obtained in the current shooting picture as the target signature.
18. device according to claim 14, which is characterized in that the identification module further includes model training submodule,
It is configured as：
Sample image is obtained, the sample image is marked with scene characteristic；By the sample image to machine learning model into
The scene Recognition model is obtained after row training.
19. device according to claim 14, which is characterized in that the acquisition parameters include following one or more：
Exposure value, f-number, fast gate value, sensitivity or focal length.
20. device according to claim 15, which is characterized in that the acquisition parameters include：Face location information.
21. device according to claim 16, which is characterized in that the acquisition parameters include：Angle of inclination.
22. device according to claim 17, which is characterized in that the acquisition parameters include：Patterning positions information.
23. a kind of electronic equipment, which is characterized in that including：
Processor；
Memory for storing processor-executable instruction；
Wherein, the processor is configured as：
Current shooting picture is obtained, identifies the target signature associated by the current shooting picture；
It searches and the matched acquisition parameters of the target signature；
Current shooting pattern is adjusted according to the acquisition parameters, so that user shoots according to the current shooting pattern.
24. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The step of claim 1 to 11 any the method is realized when execution.
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| CN201810019830.7A CN108289169A (en) | 2018-01-09 | 2018-01-09 | Image pickup method, device, electronic equipment and storage medium |
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