CN109040594A - Photographic method and device - Google Patents
Photographic method and device Download PDFInfo
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- CN109040594A CN109040594A CN201810972155.XA CN201810972155A CN109040594A CN 109040594 A CN109040594 A CN 109040594A CN 201810972155 A CN201810972155 A CN 201810972155A CN 109040594 A CN109040594 A CN 109040594A
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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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Abstract
This specification embodiment provides a kind of photographic method and device, this method comprises: the first image of acquisition；Identify the reference object in the first image；Reference object to be processed is selected from the reference object identified；Fuzzy Processing is carried out to the reference object to be processed in the first image, obtains the second image.The device includes: the first acquisition module, for acquiring the first image；First identification module, for identification reference object in the first image；Selecting module, for selecting reference object to be processed from the reference object identified；Image processing module obtains the second image for carrying out Fuzzy Processing to the reference object to be processed in the first image.It can be seen that in this specification embodiment, during carrying out Image Acquisition; it can identify the non-shooting target in institute's acquired image; and Fuzzy Processing is carried out to the non-shooting target in institute's acquired image, to be effectively protected the privacy of user, safety is higher.
Description
Technical field
This application involves field of computer technology more particularly to a kind of photographic methods and device.
Background technique
In recent years, with universal and hardware configuration the quick upgrading of intelligent operating system, the function of taking pictures of terminal device
Can be also increasingly outstanding, in life and work, people can be used terminal device and shoot photo whenever and wherever possible.
However, under some scenes, such as news interview, PR publicity, internet exchange, maps processing etc., if clapped
Occur the non-shooting target except photographic subjects in the photo taken the photograph, is especially passed on a large scale in captured photo in public channel
Sowing time, the privacy of these non-shooting targets are easy to be leaked.It is, therefore, desirable to provide a kind of higher photographic method of safety.
Summary of the invention
The purpose of this specification embodiment is to provide a kind of photographic method and device, this specification embodiment are realized in
:
In a first aspect, providing a kind of photographic method, which comprises
Acquire the first image；
Identify the reference object in the first image；
Reference object to be processed is selected from the reference object identified；
Fuzzy Processing is carried out to the reference object to be processed in the first image, obtains the second image.
Second aspect, provides a kind of camera arrangement, and described device includes:
First acquisition module, for acquiring the first image；
First identification module, for identification reference object in the first image；
Selecting module, for selecting reference object to be processed from the reference object identified；
Image processing module is obtained for carrying out Fuzzy Processing to the reference object to be processed in the first image
To the second image.
The third aspect provides a kind of electronic equipment, comprising:
Processor；And
It is arranged to the memory of storage computer executable instructions, the executable instruction makes the place when executed
It manages device and executes following operation:
Acquire the first image；
Identify the reference object in the first image；
Reference object to be processed is selected from the reference object identified；
Fuzzy Processing is carried out to the reference object to be processed in the first image, obtains the second image.
Fourth aspect, provides a kind of computer storage medium, and the computer-readable recording medium storage one or more
A program, one or more of programs are when the electronic equipment for being included multiple application programs executes, so that the electronics is set
It is standby to execute following operation:
Acquire the first image；
Identify the reference object in the first image；
Reference object to be processed is selected from the reference object identified；
Fuzzy Processing is carried out to the reference object to be processed in the first image, obtains the second image.
The technical solution provided by above this specification embodiment is adopted as it can be seen that in this specification embodiment carrying out image
During collection, the non-shooting target in institute's acquired image can be identified, and to the non-bat in institute's acquired image
It takes the photograph target and carries out Fuzzy Processing, to be effectively protected the privacy of user, safety is higher.
Detailed description of the invention
In order to illustrate more clearly of this specification embodiment or technical solution in the prior art, below will to embodiment or
Attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description is only
The some embodiments recorded in this specification, for those of ordinary skill in the art, in not making the creative labor property
Under the premise of, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow chart of the photographic method of one embodiment of this specification；
Fig. 2 is the instance graph of the photographic method of one embodiment of this specification；
Fig. 3 is the flow chart of the photographic method of another embodiment of this specification；
Fig. 4 is the flow chart of the photographic method of another embodiment of this specification；
Fig. 5 is the structural schematic diagram of the camera arrangement of one embodiment of this specification；
Fig. 6 is the structural schematic diagram of the electronic equipment of one embodiment of this specification.
Specific embodiment
In order to make those skilled in the art more fully understand the technical solution in this specification, below in conjunction with this explanation
Attached drawing in book embodiment is clearly and completely described the technical solution in this specification embodiment, it is clear that described
Embodiment be only this specification a part of the embodiment, instead of all the embodiments.The embodiment of base in this manual, this
This all should belong in field those of ordinary skill every other embodiment obtained without making creative work
The range of specification protection.
This specification embodiment provides a kind of photographic method and device.
The some concepts being related in this specification embodiment are introduced first below.
Face recognition technology: being a kind of biological identification technology for carrying out identification based on facial feature information of people.Tool
Body, the image containing face is acquired by image capture device, and detect face in the picture automatically, and then to detecting
Face carries out a series of the relevant technologies of processing, also referred to as " Identification of Images or face recognition ".
Photographing device: being the physical equipment that can be shot image and temporarily or permanently store captured image, including but not
It is limited to mobile phone, tablet computer, digital camera and personal digital assistant etc..
Camera program: photographing device and image processing techniques acquisition image and the application journey for being converted into picture storage are utilized
Sequence, including but not limited to software, application program of mobile phone, the webpage with interactive function, are supported to take pictures in operating system small routine
The module etc. of function.
Next a kind of photographic method provided this specification embodiment is introduced.
It should be noted that the photographic method that this specification embodiment provides is suitable for photographing device, in practical applications,
The photographing device may include: mobile phone, tablet computer, digital camera and personal digital assistant etc., this specification embodiment pair
This is not construed as limiting.
Fig. 1 is the flow chart of the photographic method of one embodiment of this specification, as shown in Figure 1, this method may include
Following steps: step 102, step 104, step 106 and step 108, wherein
In a step 102, the first image is acquired.
In this specification embodiment, user can be by way of clicking specific shooting button or voice control, touching
Hair capture apparatus starts to take pictures, that is, acquires the first image.
At step 104, the reference object in the first image is identified.
In this specification embodiment, reference object may include: face or license plate.
In this specification embodiment, when reference object is face, face recognition technology can be used, identify the first image
In all faces；When reference object is license plate, license plate recognition technology can be used, identify all vehicles in the first image
Board.
In step 106, reference object to be processed is selected from the reference object identified.
In this specification embodiment, reference object to be processed is non-shooting target, in order to avoid the privacy of non-shooting target
It is leaked, needs to carry out Fuzzy Processing to the reference object to be processed in the first image.
In this specification embodiment, when reference object is face, people to be processed is selected from the face in the first image
Face carries out Fuzzy Processing later；When reference object is license plate, license plate to be processed is selected from the license plate in the first image, it
After carry out Fuzzy Processing.
In this specification embodiment, shooting to be processed can be automatically selected from the reference object identified by photographing device
Object, alternatively, reference object to be processed can be selected from the reference object identified by user, to meet the personalization of user
Demand.
Specifically, if selecting reference object to be processed, above-mentioned steps 106 from the reference object identified by user
It can specifically include following steps:
The first object selection operation of user's input is received, which is used for from the shooting pair identified
As middle selection reference object to be processed；
The reference object that the user chooses is determined as reference object to be processed.
In this specification embodiment, the first object selection operation may include: clicking operation, slide and pressing behaviour
Make.
It, can be by the shooting of user's click when the first object selection operation is clicking operation in this specification embodiment
Object is determined as reference object to be processed；It, can be by the sliding trace of user when the first object selection operation is slide
The reference object covered is determined as reference object to be processed；When the first object selection operation is pressing operation, can will use
The reference object of family pressing is determined as reference object to be processed.
In one example, if reference object is face, and the first object selection operation is clicking operation, then can incite somebody to action
The face that user clicks is determined as reference object to be processed；If reference object is face, and the first object selection operation is to slide
Dynamic operation, then can be determined as reference object to be processed for the face that the sliding trace of user is covered；If reference object is
Face, and the first object selection operation is pressing operation, then the face that user presses can be determined as reference object to be processed.
In this specification embodiment, after the selection for completing reference object to be processed, reference object to be processed can be obtained and existed
Pixel position in first image.
In step 108, Fuzzy Processing is carried out to the reference object to be processed in the first image, obtains the second image.
In this specification embodiment, it can be used according to pixel position of the reference object to be processed in the first image
Fuzzy Processing algorithm updates the pixel information of these pixel positions, obtains the second image, wherein reference object to be processed exists
It is fuzzy in second image.
In one example, reference object is face, as shown in Fig. 2, including: photographing device 200 in the application scenarios, is used
After " button of taking pictures " in photographing device 200 is clicked at family, capture apparatus 200 includes shooting mesh to what is shown in viewfinder window 220
Target scene of finding a view is taken pictures, wherein has multiple people in scene of finding a view；Later by the non-shooting mesh in the image taken pictures
Mark carries out Fuzzy processing, obtains image 240.
In this specification embodiment, intermediate images storage catalogue can be set in photographing device in advance and target image is deposited
Catalogue is stored up, in such a case, it is possible to by the storage of the first image into intermediate images storage catalogue, if subsequent not to the first figure
As carrying out Fuzzy Processing, then the first image is transferred in target image storage catalogue；If subsequent carry out mould to the first image
Paste handles to obtain the second image, then the storage of the second image is stored mesh into target image storage catalogue, and by intermediate images
The first image-erasing in record.
In this specification embodiment, target image storage catalogue can be preset in photographing device, in such case
Under, the Fuzzy Processing that the first image can be directly carried out in the memory of photographing device obtains the second image, by memory
Two images are stored into target image storage catalogue.
In this specification embodiment, photographing device can be confirmed whether or not by user before taking pictures and execute above-mentioned steps
102 to step 108 operation, if user agree to, photographing device execute above-mentioned steps 102 to step 108 operation.
In this specification embodiment, the process of images above processing is executed at photographing device end, and photographing device can be
Fuzzy Processing is carried out to private data during taking pictures, and does not depend on network condition and additional image processing software, is also not required to
Want the manual operations of photographer or professional image personnel.In addition, capture apparatus does not store without the original of Fuzzy Processing
Image is shot, privacy leakage will not caused.
As seen from the above-described embodiment, in the embodiment, during carrying out Image Acquisition, it can identify and be collected
Image in non-shooting target, and in institute's acquired image non-shooting target carry out Fuzzy Processing, thus effectively
The privacy of user is protected, safety is higher.
Fig. 3 is the flow chart of the photographic method of one embodiment of this specification, can be by clapping in this specification embodiment
Reference object to be processed is automatically selected from the reference object identified according to equipment, at this point, as shown in figure 3, this method can wrap
Include following steps: step 302, step 304, step 306, step 308 and step 310, wherein
In step 302, the first image is acquired.
In this specification embodiment, user can be by way of clicking specific shooting button or voice control, touching
Hair capture apparatus starts to take pictures, that is, acquires the first image.
In step 304, the reference object in the first image is identified.
In this specification embodiment, reference object may include: face or license plate.
In this specification embodiment, when reference object is face, face recognition technology can be used, identify the first image
In all faces；When reference object is license plate, license plate recognition technology can be used, identify all vehicles in the first image
Board.
Within step 306, the image feature data of reference object in the first image is obtained.
In this specification embodiment, when reference object is face, the image feature data of reference object can be face
Face characteristic, or the iris characteristic data of human eye in face, or face characteristic and iris are special
The combination of data is levied, this specification embodiment is not construed as limiting this.
In this specification embodiment, when reference object is license plate, the image feature data of reference object can be license plate
Number.
In step 308, according to the image of the image feature data of reference object and preset reference object in the first image
Characteristic, determine in the first image with the unmatched reference object of preset reference object；It will be mismatched with preset reference object
Reference object be determined as reference object to be processed.
In this specification embodiment, reference object is photographic subjects, and the image feature data of reference object is photographic subjects
Image feature data.
In this specification embodiment, reference object to be processed is non-shooting target, in order to avoid the privacy of non-shooting target
It is leaked, needs to carry out Fuzzy Processing to the reference object to be processed in the first image.
In this specification embodiment, if reference object is face, reference object is benchmark face, at this point, benchmark pair
The image feature data of elephant can be the face characteristic of face, or the iris characteristic data of human eye in face,
It can be the combination of face characteristic and iris characteristic data, this specification embodiment is not construed as limiting this.
In this specification embodiment, if reference object is license plate, reference object is benchmark license plate, at this point, benchmark pair
The image feature data of elephant is license plate number.
In this specification embodiment, for each reference object in the first image, by the characteristics of image of the reference object
Data are compared with the image feature data of reference object, if the similarity of the two is greater than preset threshold, it is determined that the bat
It takes the photograph object to match with reference object, i.e., the reference object is photographic subjects；If the similarity of the two is not more than preset threshold,
Determine that reference object and reference object mismatch, i.e., the reference object is non-shooting target.
In one example, by taking reference object is face as an example, for each of the first image face, by the face
Image feature data is compared with the image feature data of benchmark face, if similarity is greater than preset threshold, it is determined that should
Face is matched with benchmark face；If similarity is not more than preset threshold, it is determined that the face and benchmark face mismatch, by the
It is determined as face to be processed with the unmatched face of benchmark face in one image.
In this specification embodiment, after the selection for completing reference object to be processed, reference object to be processed can be obtained and existed
Pixel position in first image.
In the step 310, Fuzzy Processing is carried out to the reference object to be processed in the first image, obtains the second image.
In this specification embodiment, it can be used according to pixel position of the reference object to be processed in the first image
Fuzzy Processing algorithm updates the pixel information of these pixel positions, obtains the second image, wherein reference object to be processed exists
It is fuzzy in second image.
In this specification embodiment, intermediate images storage catalogue can be set in photographing device in advance and target image is deposited
Catalogue is stored up, in such a case, it is possible to by the storage of the first image into intermediate images storage catalogue, if subsequent not to the first figure
As carrying out Fuzzy Processing, then the first image is transferred in target image storage catalogue；If subsequent carry out mould to the first image
Paste handles to obtain the second image, then the storage of the second image is stored mesh into target image storage catalogue, and by intermediate images
The first image-erasing in record.
In this specification embodiment, target image storage catalogue can be preset in photographing device, in such case
Under, the comparison of reference object and reference object in the first image can be directly carried out in the memory of photographing device and is obscured
Processing obtains the second image, and the second image in memory is stored into target image storage catalogue.
In this specification embodiment, the image of shooting is identified during taking pictures, if in captured image
Appearance and the unmatched reference object of reference object, the i.e. reference object are non-shooting target, then click through to its corresponding pixel
Row Fuzzy Processing protects the privacy of non-shooting target, so that finally obtained image is not related to the privacy of non-shooting target.
In this specification embodiment, the process of images above processing is executed at photographing device end, and photographing device can be
Fuzzy Processing is carried out to private data during taking pictures, and does not depend on network condition and additional image processing software, is also not required to
Want the manual operations of photographer or professional image personnel.In addition, capture apparatus does not store without the original of Fuzzy Processing
Image is shot, privacy leakage will not caused.
As seen from the above-described embodiment, it in the embodiment, in image acquisition process, (can be shot based on reference object
Target) it is automatically selected from institute's acquired image reference object to be processed (non-shooting target), and to the collected figure of institute
Non-shooting target as in carries out Fuzzy Processing, to be effectively protected the privacy of user, safety is higher, operates simpler
It is single.
Fig. 4 is the flow chart of the photographic method of one embodiment of this specification, in this specification embodiment, is taking pictures it
Before, photographic subjects can be carried out with certification shooting, and identify the reference object in shooting picture using image recognition technology, it will
It is as reference object, at this point, as shown in figure 4, this method may comprise steps of: step 402, step 404, step 406,
Step 408, step 410, step 412, step 414 and step 418, wherein
In step 402, third image is acquired.
In this specification embodiment, before taking pictures, certification shooting is carried out to photographic subjects, collects third image,
It include photographic subjects i.e. in third image.
In step 404, the reference object in third image is identified.
In this specification embodiment, reference object may include: face or license plate.Specifically, when reference object is face
When, face recognition technology can be used, identify all faces in third image；When reference object is license plate, can be used
License plate recognition technology identifies the license plate in third image.
In a step 406, the reference object in third image is determined as reference object, and will be shot in third image
The image feature data of object is determined as the image feature data of reference object.
In this specification embodiment, reference object is photographic subjects, and the image feature data of reference object is photographic subjects
Image feature data.
In this specification embodiment, if reference object is face, reference object is benchmark face, at this point, benchmark pair
The image feature data of elephant can be the face characteristic of face, or the iris characteristic data of human eye in face,
It can be the combination of face characteristic and iris characteristic data, this specification embodiment is not construed as limiting this.
In this specification embodiment, if reference object is license plate, reference object is benchmark license plate, at this point, benchmark pair
The image feature data of elephant is license plate number.
In this specification embodiment, all reference objects in third image can be determined as reference object, alternatively, examining
Consider to reference object carry out certification shooting when, it is possible to be mixed into non-shooting target, therefore can be by user from third image
Reference object select reference object.
It is above-mentioned if selecting reference object from the reference object in third image by user in this specification embodiment
Step 406 can specifically include following steps:
The second object selection operation of user's input is received, second object selection operation is for the bat from third image
It takes the photograph and selects reference object in object；
The reference object that user is chosen is determined as reference object, and the characteristics of image for the reference object that user is chosen
Data are determined as the image feature data of reference object.
In this specification embodiment, the second object selection operation may include: clicking operation, slide and pressing behaviour
Make.Specifically, the reference object that can be clicked user is right on the basis of determining when the second object selection operation is clicking operation
As；When the second object selection operation is slide, the reference object that the sliding trace of user is covered can be determined as
Reference object；When the second object selection operation is pressing operation, the reference object that user can be pressed is right on the basis of determining
As.
As it can be seen that user can be supported voluntarily to select reference object in this specification embodiment, since user selects usually tool
There is certain error correction effect, therefore can guarantee the selection accuracy of reference object.
In a step 408, the image feature data of reference object is saved
In this specification embodiment, in order to guarantee the safety of data, can image feature data to reference object into
Row encryption；Image feature data after saving encryption.
For example, can be using secure hash algorithm (Secure Hash Algorithm, SHA) to the image of reference object
Characteristic is encrypted, and encrypted image feature data is stored in capture apparatus.
In step 410, the first image is acquired.
In this specification embodiment, user can be by way of clicking specific shooting button or voice control, touching
Hair capture apparatus starts to take pictures, that is, acquires the first image.
In step 412, the reference object in the first image is identified.
In this specification embodiment, when reference object is face, face recognition technology can be used, identify the first image
In all faces；When reference object is license plate, license plate recognition technology can be used, identify all vehicles in the first image
Board.
In step 414, the image feature data of reference object in the first image is obtained.
In this specification embodiment, when reference object is face, the image feature data of reference object can be face
Face characteristic, or the iris characteristic data of human eye in face, or face characteristic and iris are special
The combination of data is levied, this specification embodiment is not construed as limiting this.
In this specification embodiment, when reference object is license plate, the image feature data of reference object can be license plate
Number.
In step 416, according to the image of the image feature data of reference object and preset reference object in the first image
Characteristic, determine in the first image with the unmatched reference object of preset reference object；It will be mismatched with preset reference object
Reference object be determined as reference object to be processed.
In this specification embodiment, reference object to be processed is non-shooting target, in order to avoid the privacy of non-shooting target
It is leaked, needs to carry out Fuzzy Processing to the reference object to be processed in the first image.
In this specification embodiment, for each reference object in the first image, by the characteristics of image of the reference object
Data are compared with the image feature data of reference object, if the similarity of the two is greater than preset threshold, it is determined that the bat
It takes the photograph object to match with reference object, i.e., the reference object is photographic subjects；If the similarity of the two is not more than preset threshold,
Determine that reference object and reference object mismatch, i.e., the reference object is non-shooting target.
In one example, by taking reference object is face as an example, for each of the first image face, by the face
Image feature data is compared with the image feature data of benchmark face, if similarity is greater than preset threshold, it is determined that should
Face is matched with benchmark face；If similarity is not more than preset threshold, it is determined that the face and benchmark face mismatch, by the
It is determined as face to be processed with the unmatched face of benchmark face in one image.
In this specification embodiment, after the selection for completing reference object to be processed, reference object to be processed can be obtained and existed
Pixel position in first image.
In step 418, Fuzzy Processing is carried out to the reference object to be processed in the first image, obtains the second image.
In this specification embodiment, it can be used according to pixel position of the reference object to be processed in the first image
Fuzzy Processing algorithm updates the pixel information of these pixel positions, obtains the second image, wherein reference object to be processed exists
It is fuzzy in second image.
In this specification embodiment, intermediate images storage catalogue can be set in photographing device in advance and target image is deposited
Catalogue is stored up, in such a case, it is possible to by the storage of the first image into intermediate images storage catalogue, if subsequent not to the first figure
As carrying out Fuzzy Processing, then the first image is transferred in target image storage catalogue；If subsequent carry out mould to the first image
Paste handles to obtain the second image, then the storage of the second image is stored mesh into target image storage catalogue, and by intermediate images
The first image-erasing in record.
In this specification embodiment, target image storage catalogue can be preset in photographing device, in such case
Under, the comparison of reference object and reference object in the first image can be directly carried out in the memory of photographing device and is obscured
Processing obtains the second image, and the second image in memory is stored into target image storage catalogue.
In this specification embodiment, the image of shooting is identified during taking pictures, if in captured image
Appearance and the unmatched reference object of reference object (i.e. the reference object is non-shooting target), then click through its corresponding pixel
Row Fuzzy Processing protects the privacy of non-shooting target, so that finally obtained image is not related to privacy of user.
In this specification embodiment, the process of images above processing is executed at photographing device end, and photographing device can be
Fuzzy Processing is carried out to private data during taking pictures, and does not depend on network condition and additional image processing software, is also not required to
Want the manual operations of photographer or professional image personnel.In addition, capture apparatus does not store without the original of Fuzzy Processing
Image is shot, privacy leakage will not caused.
As seen from the above-described embodiment, in the embodiment, before taking pictures, photographic subjects can be carried out with certification shooting, and
The reference object in shooting picture is identified using image recognition technology, as reference object, to carry out subsequent figure
When as acquisition, shooting pair to be processed can be automatically selected from institute's acquired image based on reference object (i.e. photographic subjects)
Fuzzy Processing is carried out as (non-shooting target), and to the non-shooting target in institute's acquired image, to be effectively protected use
The privacy at family, safety is higher, operates fairly simple.
Fig. 5 is the structural schematic diagram of the camera arrangement of one embodiment of this specification, as shown in figure 5, in a kind of software
In embodiment, camera arrangement 500 may include: the first acquisition module 501, the first identification module 502,503 and of selecting module
Image processing module 504, wherein
First acquisition module 501, for acquiring the first image；
First identification module 502, for identification reference object in the first image；
Selecting module 503, for selecting reference object to be processed from the reference object identified；
Image processing module 504, for carrying out Fuzzy Processing to the reference object to be processed in the first image,
Obtain the second image.
As seen from the above-described embodiment, in the embodiment, during carrying out Image Acquisition, it can identify and be collected
Image in non-shooting target, and in institute's acquired image non-shooting target carry out Fuzzy Processing, thus effectively
The privacy of user is protected, safety is higher.
Optionally, as one embodiment, first identification module 502 may include:
First operation receiving submodule, for receiving the first object selection operation of user's input, the first object choosing
Operation is selected for selecting reference object to be processed from the reference object identified；
First object determines submodule, and the reference object for choosing the user is determined as reference object to be processed.
Optionally, as one embodiment, first identification module 502 may include:
Characteristic acquisition submodule, for obtaining the image feature data of the reference object；
Second object determines submodule, for according to the image feature data of the reference object and preset reference object
Image feature data, determine in the first image with the unmatched reference object of preset reference object；
Third object determines submodule, for being determined as described with the unmatched reference object of preset reference object
Reference object to be processed.
Optionally, as one embodiment, the camera arrangement 500 can also include:
Second acquisition module, for acquiring third image；
Second identification module, for identification reference object in the third image；
Determining module, for the reference object in the third image to be determined as the reference object, and will be described
The image feature data of reference object in third image, is determined as the image feature data of the reference object；
Preserving module, for saving the image feature data of the reference object.
Optionally, as one embodiment, the determining module may include:
Second operation receiving submodule, for receiving the second object selection operation of user's input, the second object choosing
Operation is selected for selecting the reference object from the reference object in the third image；
4th object determines submodule, and the reference object for choosing the user is determined as the reference object；
Characteristic determines submodule, and the image feature data of the reference object for choosing the user is determined as
The image feature data of the reference object.
Optionally, as one embodiment, the preserving module may include:
Encryption submodule is encrypted for the image feature data to the reference object；
Submodule is saved, for saving the image feature data after encryption.
Optionally, as one embodiment, the camera arrangement 500 can also include:
Removing module is obtained for carrying out Fuzzy Processing to the reference object to be processed in the first image
After second image, the first image is deleted.
Optionally, as one embodiment, the reference object may include: face or license plate.
Fig. 6 is the structural schematic diagram of the electronic equipment of one embodiment of this specification, as shown in fig. 6, in hardware view,
The electronic equipment includes processor, optionally further comprising internal bus, network interface, memory.Wherein, memory may include
Memory, such as high-speed random access memory (Random-Access Memory, RAM), it is also possible to further include non-volatile deposit
Reservoir (non-volatile memory), for example, at least 1 magnetic disk storage etc..Certainly, which is also possible that it
Hardware required for his business.
Processor, network interface and memory can be connected with each other by internal bus, which can be ISA
(Industry Standard Architecture, industry standard architecture) bus, PCI (Peripheral
Component Interconnect, Peripheral Component Interconnect standard) bus or EISA (Extended Industry Standard
Architecture, expanding the industrial standard structure) bus etc..The bus can be divided into address bus, data/address bus, control always
Line etc..Only to be indicated with a four-headed arrow in Fig. 6, it is not intended that an only bus or a type of convenient for indicating
Bus.
Memory, for storing program.Specifically, program may include program code, and said program code includes calculating
Machine operational order.Memory may include memory and nonvolatile memory, and provide instruction and data to processor.
Processor is from the then operation into memory of corresponding computer program is read in nonvolatile memory, in logical layer
Camera arrangement is formed on face.Processor executes the program that memory is stored, and is specifically used for executing following operation:
Acquire the first image；
Identify the reference object in the first image；
Reference object to be processed is selected from the reference object identified；
Fuzzy Processing is carried out to the reference object to be processed in the first image, obtains the second image.
In this specification embodiment, during carrying out Image Acquisition, it can identify in institute's acquired image
Non-shooting target, and Fuzzy Processing is carried out to the non-shooting target in institute's acquired image, to be effectively protected user's
Privacy, safety are higher.
Optionally, described that reference object to be processed, packet are selected from the reference object identified as one embodiment
It includes:
The first object selection operation of user's input is received, first object selection operation is used for from the shooting identified
Reference object to be processed is selected in object；
The reference object that the user chooses is determined as reference object to be processed.
Optionally, described that reference object to be processed, packet are selected from the reference object identified as one embodiment
It includes:
Obtain the image feature data of the reference object；
According to the image feature data of the image feature data of the reference object and preset reference object, described is determined
In one image with the unmatched reference object of preset reference object；
It is determined as reference object to be processed with the unmatched reference object of preset reference object for described.
Optionally, as one embodiment, the first image of the acquisition the step of before, further includes:
Acquire third image；
Identify the reference object in the third image；
Reference object in the third image is determined as the reference object, and will be shot in the third image
The image feature data of object is determined as the image feature data of the reference object；
Save the image feature data of the reference object.
Optionally, as one embodiment, the reference object by the third image is determined as the benchmark pair
As, and by the image feature data of reference object in the third image, it is determined as the characteristics of image number of the reference object
According to, comprising:
The second object selection operation of user's input is received, second object selection operation is used for from the third image
In reference object in select the reference object；
The reference object that the user chooses is determined as the reference object, and the shooting pair that the user is chosen
The image feature data of elephant is determined as the image feature data of the reference object.
Optionally, as one embodiment, the image feature data for saving the reference object, comprising:
The image feature data of the reference object is encrypted；
Image feature data after saving encryption.
Optionally, it as one embodiment, is carried out in the reference object to be processed in the first image
Fuzzy Processing, after the step of obtaining the second image, further includes:
Delete the first image.
Optionally, as one embodiment, the reference object includes: face or license plate.
The method that camera arrangement disclosed in the above-mentioned embodiment illustrated in fig. 6 such as this specification executes can be applied to processor
In, or realized by processor.Processor may be a kind of IC chip, the processing capacity with signal.It was realizing
Each step of Cheng Zhong, the above method can be complete by the integrated logic circuit of the hardware in processor or the instruction of software form
At.Above-mentioned processor can be general processor, including central processing unit (Central Processing Unit, CPU),
Network processing unit (Network Processor, NP) etc.；It can also be digital signal processor (Digital Signal
Processor, DSP), it is specific integrated circuit (Application Specific Integrated Circuit, ASIC), existing
Field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device are divided
Vertical door or transistor logic, discrete hardware components.It may be implemented or execute and is in this specification embodiment disclosed
Each method, step and logic diagram.General processor can be microprocessor or the processor be also possible to it is any conventional
Processor etc..The step of method in conjunction with disclosed in this specification embodiment, can be embodied directly in hardware decoding processor execution
Complete, or in decoding processor hardware and software module combine execute completion.Software module can be located at random storage
Device, flash memory, read-only memory, this fields such as programmable read only memory or electrically erasable programmable memory, register at
In ripe storage medium.The storage medium is located at memory, and processor reads the information in memory, completes in conjunction with its hardware
The step of stating method.
The method that the electronic equipment can also carry out Fig. 1, and realize the function of camera arrangement embodiment shown in Fig. 1, this theory
Details are not described herein for bright book embodiment.
This specification embodiment additionally provides a kind of computer readable storage medium, the computer-readable recording medium storage
One or more programs, the one or more program include instruction, and the instruction is when by the portable electric including multiple application programs
When sub- equipment executes, the method that the portable electronic device can be made to execute embodiment illustrated in fig. 1, and be specifically used for executing following
Method:
Acquire the first image；
Identify the reference object in the first image；
Reference object to be processed is selected from the reference object identified；
Fuzzy Processing is carried out to the reference object to be processed in the first image, obtains the second image.
In short, being not intended to limit the protection of this specification the foregoing is merely the preferred embodiment of this specification
Range.For all spirit in this specification within principle, any modification, equivalent replacement, improvement and so on should be included in this
Within the protection scope of specification.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by the product with certain function.It is a kind of typically to realize that equipment is computer.Specifically, computer for example may be used
Think personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media play
It is any in device, navigation equipment, electronic mail equipment, game console, tablet computer, wearable device or these equipment
The combination of equipment.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described want
There is also other identical elements in the process, method of element, commodity or equipment.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part explanation.
Claims (18)
1. a kind of photographic method, which comprises
Acquire the first image；
Identify the reference object in the first image；
Reference object to be processed is selected from the reference object identified；
Fuzzy Processing is carried out to the reference object to be processed in the first image, obtains the second image.
2. according to the method described in claim 1, described select reference object to be processed, packet from the reference object identified
It includes:
The first object selection operation of user's input is received, first object selection operation is used for from the reference object identified
Middle selection reference object to be processed；
The reference object that the user chooses is determined as reference object to be processed.
3. according to the method described in claim 1, described select reference object to be processed, packet from the reference object identified
It includes:
Obtain the image feature data of the reference object；
According to the image feature data of the image feature data of the reference object and preset reference object, first figure is determined
As in the unmatched reference object of preset reference object；
It is determined as reference object to be processed with the unmatched reference object of preset reference object for described.
4. according to the method described in claim 3, before the first image of the acquisition the step of, further includes:
Acquire third image；
Identify the reference object in the third image；
Reference object in the third image is determined as the reference object, and by reference object in the third image
Image feature data, be determined as the image feature data of the reference object；
Save the image feature data of the reference object.
5. according to the method described in claim 4, the reference object by the third image is determined as the benchmark pair
As, and by the image feature data of reference object in the third image, it is determined as the characteristics of image number of the reference object
According to, comprising:
The second object selection operation of user's input is received, second object selection operation is used for from the third image
The reference object is selected in reference object；
The reference object that the user chooses is determined as the reference object, and the reference object that the user is chosen
Image feature data is determined as the image feature data of the reference object.
6. according to the method described in claim 4, the image feature data for saving the reference object, comprising:
The image feature data of the reference object is encrypted；
Image feature data after saving encryption.
7. according to the method described in claim 1, being carried out in the reference object to be processed in the first image
Fuzzy Processing, after the step of obtaining the second image, further includes:
Delete the first image.
8. method according to any one of claims 1 to 7, the reference object includes: face or license plate.
9. a kind of camera arrangement, described device include:
First acquisition module, for acquiring the first image；
First identification module, for identification reference object in the first image；
Selecting module, for selecting reference object to be processed from the reference object identified；
Image processing module obtains for carrying out Fuzzy Processing to the reference object to be processed in the first image
Two images.
10. device according to claim 9, first identification module, comprising:
First operation receiving submodule, for receiving the first object selection operation of user's input, the first Object Selection behaviour
It acts on from the reference object identified and selects reference object to be processed；
First object determines submodule, and the reference object for choosing the user is determined as reference object to be processed.
11. device according to claim 9, first identification module, comprising:
Characteristic acquisition submodule, for obtaining the image feature data of the reference object；
Second object determines submodule, for according to the image feature data of the reference object and the image of preset reference object
Characteristic, determine in the first image with the unmatched reference object of preset reference object；
Third object determines submodule, for being determined as described with the unmatched reference object of preset reference object wait locate
Manage reference object.
12. device according to claim 11, described device further include:
Second acquisition module, for acquiring third image；
Second identification module, for identification reference object in the third image；
Determining module, for the reference object in the third image to be determined as the reference object, and by the third
The image feature data of reference object in image, is determined as the image feature data of the reference object；
Preserving module, for saving the image feature data of the reference object.
13. device according to claim 12, the determining module, comprising:
Second operation receiving submodule, for receiving the second object selection operation of user's input, the second Object Selection behaviour
It acts on and selects the reference object from the reference object in the third image；
4th object determines submodule, and the reference object for choosing the user is determined as the reference object；
Characteristic determines submodule, the image feature data of the reference object for choosing the user, is determined as described
The image feature data of reference object.
14. device according to claim 12, the preserving module, comprising:
Encryption submodule is encrypted for the image feature data to the reference object；
Submodule is saved, for saving the image feature data after encryption.
15. device according to claim 9, described device further include:
Removing module obtains second for carrying out Fuzzy Processing to the reference object to be processed in the first image
After image, the first image is deleted.
16. the reference object includes: face or license plate according to claim 9 to 15 described in any item devices.
17. a kind of electronic equipment, comprising:
Processor；And
It is arranged to the memory of storage computer executable instructions, the executable instruction makes the processor when executed
Execute following operation:
Acquire the first image；
Identify the reference object in the first image；
Reference object to be processed is selected from the reference object identified；
Fuzzy Processing is carried out to the reference object to be processed in the first image, obtains the second image.
18. a kind of computer storage medium, the computer-readable recording medium storage one or more program, it is one or
Multiple programs are when the electronic equipment for being included multiple application programs executes, so that the electronic equipment executes following operation:
Acquire the first image；
Identify the reference object in the first image；
Reference object to be processed is selected from the reference object identified；
Fuzzy Processing is carried out to the reference object to be processed in the first image, obtains the second image.
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| CN201810972155.XA CN109040594B (en) | 2018-08-24 | 2018-08-24 | Photographing method and device |
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| CN201810972155.XA CN109040594B (en) | 2018-08-24 | 2018-08-24 | Photographing method and device |
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| CN109040594B (en) | 2020-12-18 |
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