CN104683692B - A kind of continuous shooting method and device - Google Patents
A kind of continuous shooting method and device Download PDFInfo
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- CN104683692B CN104683692B CN201510058180.3A CN201510058180A CN104683692B CN 104683692 B CN104683692 B CN 104683692B CN 201510058180 A CN201510058180 A CN 201510058180A CN 104683692 B CN104683692 B CN 104683692B
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- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000011156 evaluation Methods 0.000 claims description 20
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- 238000001514 detection method Methods 0.000 claims description 9
- 230000004807 localization Effects 0.000 claims description 9
- 230000015572 biosynthetic process Effects 0.000 claims description 4
- 238000003786 synthesis reaction Methods 0.000 claims description 4
- 108010001267 Protein Subunits Proteins 0.000 claims 1
- 238000005516 engineering process Methods 0.000 description 6
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- 230000001413 cellular effect Effects 0.000 description 2
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Classifications
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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
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
-
- 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
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/95—Computational photography systems, e.g. light-field imaging systems
- H04N23/951—Computational photography systems, e.g. light-field imaging systems by using two or more images to influence resolution, frame rate or aspect ratio
Abstract
The embodiment of the invention discloses a kind of continuous shooting method and device, wherein the continuous shooting method includes:Continuous shooting enabled instruction is received, the start image frame containing face-image of camera collection is obtained, using the start image frame is as reference picture and stores;Obtain the acquired image frames containing face-image of the camera collection;Detect the difference value of the face characteristic information in the acquired image frames and the face characteristic information of the reference picture;The step of when the difference value are more than or equal to threshold value, the acquired image frames being set to reference picture and stored, and perform the acquired image frames containing face-image for obtaining the camera collection.Terminal resource can be saved using the present invention, the degree of accuracy that useful picture frame is captured during continuous shooting is improved.
Description
Technical field
The present invention relates to field of terminal, more particularly to a kind of continuous shooting method and device.
Background technology
With continuing to develop for terminal technology, the integrated function of terminal is more and more, and being increasingly becoming can not in people's life
Or a scarce part.Wherein, GIF (Graphic Interchange Format, the graphic interchange format) dynamics that terminal is provided
Chart-pattern has interest very much, deep to be liked by users.The principle of this GIF Dynamic Graphs is:Stored in a gif file
Multiple image, reads the multiple image data being stored in a gif file by width and shows and be a kind of simplest so as to constitute
Animation.User generally captures the picture frame with continuous action or expression using burst mode and is used as in actual use
The raw data of GIF Dynamic Graphs synthesis, in the prior art, burst mode are typically to be made using Fixed Time Interval acquired image frames
For continuous shooting image, in order that the image that must be captured has continuity, the Fixed Time Interval sets shorter, but user do express one's feelings or
The speed of action does not often catch up with camera and carries out the speed of continuous shooting, thus can grab during continuous shooting some it is fuzzy or
Person moves express one's feelings during unwanted picture frame, waste terminal storage resource.
The content of the invention
The embodiments of the invention provide a kind of continuous shooting method and device, the storage resource of terminal can be saved, continuous shooting mistake is improved
The degree of accuracy of useful picture frame is captured in journey.
The embodiments of the invention provide a kind of continuous shooting method, the continuous shooting method includes:
Continuous shooting enabled instruction is received, the start image frame containing face-image of camera collection is obtained, by the starting
Picture frame is as reference picture and stores;
Obtain the acquired image frames containing face-image of the camera collection;
Detect the difference of the face characteristic information in the acquired image frames and the face characteristic information of the reference picture
Value;
When the difference value is more than or equal to threshold value, the acquired image frames are set to reference picture and stored, are held
The step of row obtains the acquired image frames containing face-image of the camera collection.
Accordingly, the embodiments of the invention provide a kind of continuous shooting device, described device includes:
Picture frame acquiring unit, for receiving continuous shooting enabled instruction, obtains the rising containing face-image of camera collection
Beginning picture frame;
Reference image setting unit, for using the start image frame is as reference picture and stores;
Described image frame acquiring unit, is additionally operable to obtain the collection image containing face-image of the camera collection
Frame;
Facial features localization unit, for detecting the face characteristic information in the acquired image frames and the reference picture
Face characteristic information difference value;
The reference image setting unit, is additionally operable to, when the difference value is more than or equal to threshold value, the collection be schemed
As frame is set to reference picture and stores.
The embodiment of the present invention, can receive continuous shooting enabled instruction, obtain the starting figure containing face-image of camera collection
As frame, using the start image frame is as reference picture and stores;The camera collection can also be obtained contains face-image
Acquired image frames;Detect the face characteristic information in the acquired image frames and the face characteristic information of the reference picture
Difference value;And then when the difference value is more than threshold value, the acquired image frames are set to reference picture and stored, execution is obtained
The step of taking the acquired image frames containing face-image of the camera collection, can save the storage resource of terminal, the company of raising
The degree of accuracy of useful picture frame is captured during bat, Consumer's Experience is improved.
Brief description of the drawings
Technical scheme, is used required in being described below to embodiment in order to illustrate the embodiments of the present invention more clearly
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the present invention, general for this area
For logical technical staff, on the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of continuous shooting method schematic flow sheet provided in an embodiment of the present invention;
Fig. 2 is another continuous shooting method schematic flow sheet provided in an embodiment of the present invention;
Fig. 3 is a kind of continuous shooting apparatus structure schematic diagram provided in an embodiment of the present invention;
Fig. 4 is picture frame acquiring unit structural representation provided in an embodiment of the present invention;
Fig. 5 is facial features localization cellular construction schematic diagram provided in an embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is a part of embodiment of the invention, rather than whole embodiments.Based on this hair
Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
In the specific implementation, the terminal mentioned in the embodiment of the present invention includes but is not limited to:Smart mobile phone (such as Android
Mobile phone, IOS mobile phones), tablet personal computer, notebook computer, palm PC, the electronic equipment such as digital camera.Institute of the embodiment of the present invention
The method of description is performed by one group of code being stored in terminal memory, and the code is implemented in based on von Neumann system
In computer system.
A kind of continuous shooting method and device provided in an embodiment of the present invention are specifically described below in conjunction with Fig. 1 to Fig. 5.
It is a kind of continuous shooting method schematic flow sheet provided in an embodiment of the present invention, continuous shooting method as depicted referring to Fig. 1
It may include following steps:
S101, receives continuous shooting enabled instruction, obtains the start image frame containing face-image of camera collection, will be described
Start image frame is as reference picture and stores.
In the specific implementation, can start camera first and select burst mode in the setting menu of terminal, camera enters
Enter and auto-focusing just carried out after viewfinder mode, user inputted when getting out posture photographing instruction be just considered as input continuous shooting start refer to
Order, wherein, the input of photographing instruction has various ways, can be that user clicks on camera button triggering or terminal is being prolonged
When exposal model under, terminal is triggered when delay of taking pictures is reached.Continuous shooting method in the present embodiment, its main application scenarios
Include the continuous shooting image of character face's image for collection, therefore terminal, when receiving continuous shooting instruction, camera collection is containing facial
The start image frame of image, using the start image frame is as reference picture and stores, is used as photographed during continuous shooting
One image.
S102, obtains the acquired image frames containing face-image of the camera collection.
In step S101, the start image frame that camera is collected is as after reference picture, and camera continues to find a view
And auto-focusing is carried out, to gather the acquired image frames containing face-image, wait other images during continuous shooting to be captured.
Face characteristic information and the face characteristic information of the reference picture in S103, the detection acquired image frames
Difference value.
In the specific implementation, this step can be based on face recognition technology, pedestrian is entered to acquired image frames and reference picture first
Face detection (judge whether face-image in complicated background and split it from background) is included with obtaining it
Face-image, then the face-image included in acquired image frames and reference picture is sampled to carry out face characteristic letter
Breath is extracted, and then detects the difference of the face characteristic information in the acquired image frames and the face characteristic information of the reference picture
Different value.The method of Face datection includes but is not limited to:The regular method of reference template method, face, sample learning method, complexion model method or
Sub-face of feature method etc..The extraction of face characteristic information is generally included:Feature vector method and face line template.Wherein, recognition of face
Feature vector method refer to:Determine the image surface face profile such as eye iris, the wing of nose, corners of the mouth the attribute such as size, position, distance,
Then the geometric feature (Euclidean distance, curvature, angle) or algebraic characteristic amount (square of each characteristic point in image surface face profile are calculated
Battle array characteristic vector) to describe the facial characteristics of picture frame septum reset image.
In the present embodiment, can obtain acquired image frames and reference picture septum reset image face feature point (such as corners of the mouth,
The wing of nose, canthus, eye exterior feature, nose, brows, eyebrow tail) coordinate information in picture frame, it is then each in detection acquired image frames respectively
Face feature point and the coordinate difference of each corresponding face feature point in reference picture, are schemed with the face judged in acquired image frames
Seem no espressiove or change in location, the change of such as the distance between brows can determine whether whether face has the table knitted one's brows
The change of the distance between feelings, nose and canthus can determine whether the expression for whether having wrinkle nose in face.
For example, the threshold value for setting the transverse and longitudinal coordinate difference value of corners of the mouth characteristic point A points and B points in face characteristic is 0.5, right
Acquired image frames and reference picture are done after Face datection and face characteristic information extraction, obtain corners of the mouth A points and B in acquired image frames
Point coordinate be respectively (0.5,1.5) and (2.5,1.5), in reference picture the coordinate of corners of the mouth A points and B points be respectively (1,1) and
The transverse and longitudinal coordinate difference value of A points and B points is respectively 0.5 in (2,1), therefore detectable acquired image frames and reference picture,
Equal to default threshold value, step S104 is now performed, the acquired image frames are set to reference picture and stored.Wherein, mouth
The difference of the abscissa of angle A points and B points can represent the length of face, and the difference of the ordinate of corners of the mouth A points and B points can represent the corners of the mouth
Difference in height, it is known that relative to the face of reference picture septum reset image, the face length in acquired image frames septum reset image
It increased and the corners of the mouth has raised up, therefore can determine whether, relative to the face in reference picture septum reset image, to gather image
Face in frame, which has, is changed into smile's state, is espressiove change relative to the face-image in reference picture acquired image frames.
The acquired image frames, when the difference value is more than or equal to threshold value, is set to reference picture and deposited by S104
Storage, the step of performing the acquired image frames containing face-image for obtaining the camera collection.
The present embodiment is after the acquired image frames are set to reference picture and store, if being gathered needed for this continuous shooting
Image and do not complete and can transfer circulation and perform step S102~S104 until completing this continuous shooting.
In another alternative embodiment, perform by the acquired image frames be set to reference picture and storing step it
Afterwards, methods described also includes:Judge whether the quantity as reference picture and the picture frame stored is more than or equal to first
Threshold value, if so, terminating continuous shooting;Otherwise, the acquired image frames containing face-image for obtaining the camera collection are performed
The step of.
In the specific implementation, the image shot needed for this continuous shooting can be specified while camera selection burst mode is started
Quantity is as first threshold, and usual terminal provides 4 continuous shootings, 6 continuous shootings, 8 continuous shootings or the selection of 16 burst mode options for user, also
Can selection burst mode after shooting image needed for self-defined continuous shooting quantity.Terminal often shoots a figure during continuous shooting
Picture, just judges whether the image captured by this continuous shooting reaches default first threshold, if so, then terminating this continuous shooting;If it is not,
Execution step S102~S104 is continued cycling through until completing this continuous shooting.
In another alternative embodiment, after reception continuous shooting enabled instruction step is performed, methods described also includes:Obtain
The initial time stamp of the continuous shooting enabled instruction.
Accordingly, the step of acquired image frames containing face-image of the acquisition camera collection also include:
Current time stamp is obtained, continuous shooting duration is calculated according to the current time stamp and the initial time stamp, when judging the continuous shooting
It is long whether to be more than or equal to Second Threshold, if so, terminating continuous shooting;Otherwise, containing for the acquisition camera collection is performed
The step of acquired image frames of face-image.
When in the specific implementation, burst mode can selected in advance, continuous shooting duration needed for this continuous shooting is set to be used as the
Two threshold values, after terminal receives reception continuous shooting enabled instruction, start timing, terminal often shoots a figure during continuous shooting
Picture, just judges whether this continuous shooting duration reaches default Second Threshold, if so, then terminating this continuous shooting;If it is not, continuing cycling through
Step S102~S104 is performed until this continuous shooting duration reaches predetermined threshold value so as to complete this continuous shooting.
In another alternative embodiment, perform the acquired image frames are set to reference picture and the step of store it
Afterwards, methods described also includes:Dynamic Graph generation instruction is received, is obtained as reference picture and stored picture frame, according to institute
State as reference picture and stored picture frame generation Dynamic Graph.
In the specific implementation, after this continuous shooting terminates, terminal can shoot this continuous shooting directly or according to user's request
Image making turn into GIF Dynamic Graphs, improve burst mode interest.
In another alternative embodiment, step S102 may include step:
11) multiple cache image frames containing face-image of the camera collection, are obtained;
12) the focusing evaluation of estimate of each cache image frame in multiple described cache image frames, is calculated;
13) the maximum cache image frame of focusing evaluation of estimate in multiple described cache image frames, is chosen as the collection to scheme
As frame.
After terminal obtains first continuous shooting image, terminal gathers multiple cachings containing face-image by camera
Picture frame, and the focusing evaluation of estimate of focusing area in every picture frame is calculated simultaneously, wherein focusing evaluation of estimate is focusing area
Definition reference value (such as sharpness value), then the maximum cache image frame of selection focusing evaluation of estimate is used as collection image therefrom
Frame, can obtain relatively that clearly acquired image frames are to increase the definition of continuous shooting image, with certain stabilization effect.
The embodiment of the present invention, can receive continuous shooting enabled instruction, obtain the starting figure containing face-image of camera collection
As frame, using the start image frame is as reference picture and stores;The camera collection can also be obtained contains face-image
Acquired image frames;Detect the face characteristic information in the acquired image frames and the face characteristic information of the reference picture
Difference value;And then when the difference value is more than threshold value, the acquired image frames are set to reference picture and stored, execution is obtained
The step of taking the acquired image frames containing face-image of the camera collection, can save the storage resource of terminal, the company of raising
The degree of accuracy of useful picture frame is captured during bat, Consumer's Experience is improved.
It is another continuous shooting method schematic flow sheet provided in an embodiment of the present invention, continuous shooting side as depicted referring to Fig. 2
Method may include following steps:
S201, receives continuous shooting enabled instruction, obtains the start image frame containing face-image of camera collection, will be described
Start image frame is as reference picture and stores.
S202, obtains the acquired image frames containing face-image of the camera collection.
S203, obtains the coordinate value of face characteristic in the acquired image frames and the reference picture respectively.
In the specific implementation, this step can be based on face recognition technology, pedestrian is entered to acquired image frames and reference picture first
Face detection (judge whether face-image in complicated background and split it from background) is included with obtaining it
Face-image, then the face-image included in acquired image frames and reference picture is sampled to obtain human face characteristic point
Coordinate value.
S204, judges the coordinate value of the coordinate value of face characteristic and face characteristic in the acquired image frames in reference picture
Between difference whether be more than or equal to threshold value.
If the difference in reference picture in the coordinate value and acquired image frames of face characteristic between the coordinate value of face characteristic
Step S205 is continued executing with more than or equal to threshold value.For example, setting the transverse and longitudinal of corners of the mouth characteristic point A points and B points in face characteristic to sit
The threshold value for marking difference value is 0.5, after acquired image frames and reference picture are done with Face datection and face characteristic information extraction, is obtained
Into acquired image frames, the coordinate of corners of the mouth A points and B points is respectively corners of the mouth A points in (0.5,1.5) and (2.5,1.5), reference picture
Coordinate with B points is respectively the horizontal stroke of A points and B points in (1,1) and (2,1), therefore detectable acquired image frames and reference picture
Ordinate difference value is equal to default threshold value for respectively 0.5, now performs step S205.Optionally, if people in reference picture
Difference in the coordinate value and acquired image frames of face feature between the coordinate value of face characteristic is less than threshold value, then performs step
S202。
The acquired image frames are set to reference picture and stored by S205.
S206, judges whether the quantity as reference picture and the picture frame stored is more than or equal to first threshold.
The image shot needed for this continuous shooting can be specified while camera selection burst mode is started by implementing
Quantity is as first threshold, and usual terminal provides 4 continuous shootings, 6 continuous shootings, 8 continuous shootings or the selection of 16 burst mode options for user, also
Can selection burst mode after shooting image needed for self-defined continuous shooting quantity.Terminal often shoots a figure during continuous shooting
Picture, just judges whether the image captured by this continuous shooting reaches default first threshold, if so, then terminating this continuous shooting;If it is not,
Then step S202~S206 is performed until completing this continuous shooting.
S207, terminates continuous shooting.
The embodiment of the present invention, can obtain the starting containing face-image of camera collection when receiving continuous shooting enabled instruction
Picture frame, using the start image frame is as reference picture and stores, can also obtain the camera collection containing face figure
The acquired image frames of picture, so obtain respectively in the acquired image frames and the reference picture coordinate value of face characteristic and
Judge that the difference in reference picture in the coordinate value of face characteristic and the acquired image frames between the coordinate value of face characteristic is big
When threshold value, the acquired image frames are set to reference picture and stored, then judge described as reference picture
And whether the quantity of the picture frame stored is more than or equal to first threshold, and in its judged result to terminate this continuous shooting when being,
It can save the storage resource of terminal, improve the degree of accuracy that useful picture frame is captured during continuous shooting, improve Consumer's Experience.
Referring to Fig. 3, a kind of continuous shooting apparatus structure schematic diagram provided in an embodiment of the present invention, continuous shooting device as depicted is extremely
It can include less:Picture frame acquiring unit 301, reference image setting unit 302 and facial features localization unit 303.
Picture frame acquiring unit 301, for receiving continuous shooting enabled instruction, obtain camera collection containing face-image
Start image frame.
In the specific implementation, can start camera first and select burst mode in the setting menu of terminal, camera enters
Enter and auto-focusing just carried out after viewfinder mode, user inputted when getting out posture photographing instruction be just considered as input continuous shooting start refer to
Order, wherein, the input of photographing instruction has various ways, can be that user clicks on camera button triggering or terminal is being prolonged
When exposal model under, the delay of taking pictures of terminal is triggered when reaching.Continuous shooting method in the present embodiment, its main application scenarios
Include the continuous shooting image of character face's image for collection, therefore picture frame acquiring unit 301 is when receiving continuous shooting and instructing, picture frame
Acquiring unit 301 gathers the start image frame containing face-image by camera, and reference image setting unit 302 described will rise
Beginning picture frame is as reference picture and stores, and is used as first image photographed during continuous shooting.
Reference image setting unit 302, for using the start image frame is as reference picture and stores.
Described image frame acquiring unit 301, is additionally operable to obtain the collection figure containing face-image of the camera collection
As frame.
Reference image setting unit 302 is using the start image frame as after reference picture, and camera, which continues to find a view, goes forward side by side
Row auto-focusing, to gather the acquired image frames containing face-image, waits other images during continuous shooting to be captured.
Facial features localization unit 303, for detecting the face characteristic information in the acquired image frames and the reference
The difference value of the face characteristic information of image.
In the specific implementation, facial features localization unit 303 can be based on face recognition technology, first to acquired image frames and ginseng
Examine image and carry out Face datection (judge whether face-image in complicated background and split it from background)
To obtain the face-image that it is included, then the face-image included in acquired image frames and reference picture is sampled to enter
Pedestrian's face feature information extraction, and then detect the face characteristic information in the acquired image frames and the face of the reference picture
The difference value of characteristic information.The method of Face datection includes but is not limited to:The regular method of reference template method, face, sample learning method,
Complexion model method or sub-face of feature method etc..The extraction of face characteristic information is generally included:Feature vector method and face line template.Its
In, the feature vector method of recognition of face refers to:Determine the image surface face profile such as eye iris, the wing of nose, corners of the mouth size, position,
The attributes such as distance, the geometric feature (Euclidean distance, curvature, angle) or algebraically for then calculating each characteristic point in face profile is special
Facial characteristics of the amount of levying (matrix character vector) to describe picture frame septum reset image.
In the present embodiment, can obtain acquired image frames and reference picture septum reset image face feature point (such as corners of the mouth,
The wing of nose, canthus, eye exterior feature, nose, brows, eyebrow tail) coordinate information in picture frame, it is then each in detection acquired image frames respectively
Face feature point and the coordinate difference of each corresponding face feature point in reference picture, are schemed with the face judged in acquired image frames
Seem no espressiove or change in location, the change of such as the distance between brows can determine whether whether face has the table knitted one's brows
The change of the distance between feelings, nose and canthus can determine whether the expression for whether having wrinkle nose in face.
For example, the threshold value for setting the transverse and longitudinal coordinate difference value of corners of the mouth characteristic point A points and B points in face characteristic is 0.5, right
Acquired image frames and reference picture are done after Face datection and face characteristic information extraction, obtain corners of the mouth A points and B in acquired image frames
Point coordinate be respectively (0.5,1.5) and (2.5,1.5), in reference picture the coordinate of corners of the mouth A points and B points be respectively (1,1) and
The transverse and longitudinal coordinate difference value of A points and B points is respectively 0.5 in (2,1), therefore detectable acquired image frames and reference picture,
Equal to default threshold value, the acquired image frames are set to reference picture and stored by the reference image setting unit 302.Its
In, the difference of the abscissa of corners of the mouth A points and B points can represent the length of face, and the difference of the ordinate of corners of the mouth A points and B points can represent institute
State the difference in height of the corners of the mouth, it is known that relative to the face of reference picture septum reset image, the mouth in acquired image frames septum reset image
Ba Changdu increased and the corners of the mouth has raised up, therefore can determine whether, relative to the face in reference picture septum reset image, to adopt
Face in collection picture frame, which has, is changed into smile's state, is that espressiove becomes relative to the face-image in reference picture acquired image frames
Change.
The reference image setting unit 302, is additionally operable to when the difference value is more than or equal to threshold value, by the collection
Picture frame is set to reference picture and stored.
The acquired image frames are set to reference picture in the reference image setting unit 302 and stored by the present embodiment
Afterwards, if this continuous shooting needed for collection image and do not complete can continue through described image frame acquiring unit 301, the reference
Image setting unit 302 and the facial features localization unit 303 complete the collection of continuous shooting image until this continuous shooting terminates.
In another alternative embodiment, the continuous shooting device also includes:Amount of images judging unit 304, for the ginseng
Examine image setting unit by the acquired image frames be set to reference picture and store after, judge it is described as reference picture simultaneously
Whether the quantity of the picture frame of storage is more than or equal to first threshold, if so, terminating continuous shooting;Otherwise, described image frame obtains single
Member 301 obtains the acquired image frames containing face-image of the camera collection.
In the specific implementation, the image shot needed for this continuous shooting can be specified while camera selection burst mode is started
Quantity is as first threshold, and usual terminal provides 4 continuous shootings, 6 continuous shootings, 8 continuous shootings or the selection of 16 burst mode options for user, also
Can selection burst mode after shooting image needed for self-defined continuous shooting quantity.An image is often shot during continuous shooting, is schemed
Whether the image as captured by quantity judging unit 304 just judges this continuous shooting reaches default first threshold, if so, then terminating
This continuous shooting;If it is not, described image frame acquiring unit 301 is continued through, the reference image setting unit 302 and the face
Characteristic detection unit 303 shoots continuous shooting image until completing this continuous shooting.
In another alternative embodiment, the continuous shooting device also includes:Timestamp acquiring unit 305, for described image
Frame acquiring unit is received after continuous shooting enabled instruction, obtains the initial time stamp of the continuous shooting enabled instruction.
The timestamp acquiring unit 305, is additionally operable to obtain current time stamp.
Accordingly, the continuous shooting device also includes:Continuous shooting duration judging unit 306, for according to the current time stamp
Continuous shooting duration is calculated with the initial time stamp, judges whether the continuous shooting duration is more than or equal to Second Threshold, if so, terminating
Continuous shooting;Otherwise, described image frame acquiring unit 301 obtains the acquired image frames containing face-image of the camera collection.
When in the specific implementation, burst mode can selected in advance, continuous shooting duration needed for this continuous shooting is set to be used as the
Two threshold values, after terminal receives reception continuous shooting enabled instruction, timestamp acquiring unit 305 obtains continuous shooting initial time, opens
Beginning timing, often shoots an image during continuous shooting, and timestamp acquiring unit 305 obtains current time to calculate during continuous shooting
Long, continuous shooting duration judging unit 306 just judges whether this continuous shooting duration reaches default Second Threshold, if so, then terminating this
Secondary continuous shooting;If it is not, continuing through described image frame acquiring unit 301, the reference image setting unit 302, the face are special
Levy detection unit 303 and shoot continuous shooting image until this continuous shooting duration reaches predetermined threshold value so as to complete this continuous shooting.
In another alternative embodiment, the continuous shooting device also includes:Dynamic Graph synthesis unit 307, for the reference
The acquired image frames are set to after reference picture and storage by image setting unit, are received Dynamic Graph generation instruction, are obtained
As reference picture and stored picture frame, according to described as reference picture and stored picture frame generates Dynamic Graph.
After continuous shooting terminates, what Dynamic Graph synthesis unit 307 can shoot this continuous shooting directly or according to user's request
Image making turns into GIF Dynamic Graphs, improves the interest of burst mode.
Referring to Fig. 4, picture frame acquiring unit structural representation provided in an embodiment of the present invention, picture frame as depicted is obtained
Unit 301 is taken to include:Cache image frame obtains subelement 3101, and focusing evaluation of estimate computation subunit 3102 gathers image
Frame chooses subelement 3103.
Cache image frame obtains subelement 3101, and multiple containing face-image for obtaining the camera collection are delayed
Deposit picture frame.
Evaluation of estimate of focusing computation subunit 3102, pair for calculating each cache image frame in multiple described cache image frames
Burnt evaluation of estimate.
Acquired image frames choose subelement 3103, for choosing focusing evaluation of estimate maximum in multiple described cache image frames
Cache image frame is used as the acquired image frames.
After first continuous shooting image is obtained, cache image frame obtains subelement 3101 and contains face by camera collection
Multiple cache image frames of portion's image, focusing evaluation of estimate computation subunit 3102 calculates focusing area in every cache image frame
Focusing evaluation of estimate, wherein focusing evaluation of estimate is the definition reference value (such as sharpness value) of focusing area, then acquired image frames are selected
Take subelement 3103 to select to focus the maximum cache image frame of evaluation of estimate therefrom as acquired image frames, can obtain relatively clear
Clear acquired image frames are to increase the definition of continuous shooting image, with certain stabilization effect.
Referring to Fig. 5, facial features localization cellular construction schematic diagram provided in an embodiment of the present invention, face as depicted is special
Levying detection unit 303 can include:Face characteristic obtains subelement 3301 and face characteristic judgment sub-unit 3303.
Face characteristic obtains subelement 3301, the coordinate value for obtaining face characteristic in the acquired image frames.
In the specific implementation, face characteristic, which obtains subelement 3301, can be based on face recognition technology, first to acquired image frames
Face datection (judge whether face-image in complicated background and split it from background) is carried out to obtain
Its face-image included, is then sampled to obtain face to the face-image included in acquired image frames and reference picture
The coordinate value of characteristic point.
The face characteristic obtains subelement 3301, is additionally operable to obtain the coordinate value of face characteristic in the reference picture.
Face characteristic judgment sub-unit 3302, for judging that the coordinate value of face characteristic is adopted with described in the reference picture
Collect whether the difference in picture frame between the coordinate value of face characteristic is more than threshold value, if so, the reference image setting unit 302
The acquired image frames are set to reference picture and stored;If it is not, described image frame acquiring unit 301 obtains the camera
The acquired image frames containing face-image of collection.
For example, the threshold value for setting the transverse and longitudinal coordinate difference value of corners of the mouth characteristic point A points and B points in face characteristic is 0.5, face
Feature obtain subelement 3301 obtain acquired image frames in corners of the mouth A points and B points coordinate be respectively (0.5,1.5) and (2.5,
1.5), the coordinate of corners of the mouth A points and B points is respectively (1,1) and (2,1) in reference picture, therefore face characteristic judgment sub-unit
The transverse and longitudinal coordinate difference value of A points and B points is respectively 0.5 in 3302 detectable acquired image frames and reference picture, equal to pre-
If threshold value, now reference image setting unit 302 acquired image frames are set to reference picture and stored.
A kind of continuous shooting method and device disclosed in the embodiment of the present invention are described in detail above, it is above disclosed
Only present pre-ferred embodiments, can not limit the interest field of the present invention with this certainly, therefore according to right of the present invention
It is required that the equivalent variations made, still belong to the scope that the present invention is covered.
Claims (10)
1. a kind of continuous shooting method, it is characterised in that including:
Continuous shooting enabled instruction is received, the start image frame containing face-image of camera collection is obtained, by the start image
Frame is as reference picture and stores;
Obtain the acquired image frames containing face-image of the camera collection;
Detect the difference value of the face characteristic information in the acquired image frames and the face characteristic information of the reference picture;
When the difference value is more than or equal to threshold value, the acquired image frames are set to reference picture and stored, execution is obtained
The step of taking the acquired image frames containing face-image of the camera collection;
Wherein, it is described that the acquired image frames are set to after reference picture and storage, in addition to:
Judge whether the quantity as reference picture and the picture frame stored is more than or equal to first threshold, if so, terminating
Continuous shooting;Otherwise, the step of performing the acquired image frames containing face-image of the acquisition camera collection.
2. according to the method described in claim 1, it is characterised in that after the reception continuous shooting enabled instruction step, in addition to:
Obtain the initial time stamp of the continuous shooting enabled instruction;
The step of acquired image frames containing face-image of the acquisition camera collection, includes:
Current time stamp is obtained, continuous shooting duration is calculated according to the current time stamp and the initial time stamp, the company is judged
Clap whether duration is more than or equal to Second Threshold, if so, terminating continuous shooting;Otherwise, the acquisition camera collection is performed
The step of acquired image frames containing face-image.
3. according to the method described in claim 1, it is characterised in that described that the acquired image frames are set to reference picture simultaneously
Also include after the step of storage:
Dynamic Graph generation instruction is received, obtains as reference picture and stored picture frame, reference picture is used as according to described
And stored picture frame generation Dynamic Graph.
4. according to the method described in claim 1, it is characterised in that what the acquisition camera was gathered contains face-image
Acquired image frames include:
Obtain multiple cache image frames containing face-image of the camera collection;
The focusing evaluation of estimate of each cache image frame in multiple described cache image frames is calculated, focusing evaluation of estimate is clear for focusing area
Clear degree reference value;
Choose the maximum cache image frame of focusing evaluation of estimate in multiple described cache image frames and be used as the acquired image frames.
5. according to the method described in claim 1, it is characterised in that the detection acquired image frames and the reference picture
The difference value of face characteristic information include:
Obtain the coordinate value of face characteristic in the acquired image frames;
Obtain the coordinate value of face characteristic in the reference picture;
Judge in the reference picture in the coordinate value of face characteristic and the acquired image frames between the coordinate value of face characteristic
Difference whether be more than or equal to the threshold value, if so, perform the acquired image frames are set to reference picture and stored
Step;If it is not, performing the acquired image frames step containing face-image for obtaining the camera collection.
6. a kind of continuous shooting device, it is characterised in that including:
Picture frame acquiring unit, for receiving continuous shooting enabled instruction, obtains the starting figure containing face-image of camera collection
As frame;
Reference image setting unit, for using the start image frame is as reference picture and stores;
Described image frame acquiring unit, is additionally operable to obtain the acquired image frames containing face-image of the camera collection;
Facial features localization unit, the people for detecting the face characteristic information in the acquired image frames and the reference picture
The difference value of face characteristic information;
The reference image setting unit, is additionally operable to when the difference value is more than or equal to threshold value, by the acquired image frames
It is set to reference picture and stores;
Wherein, described device also includes:
The acquired image frames are set to reference picture simultaneously by amount of images judging unit for the reference image setting unit
After storage, judge whether the quantity as reference picture and the picture frame stored is more than or equal to first threshold, if so,
Terminate continuous shooting;Otherwise, described image frame acquiring unit obtains the acquired image frames containing face-image of the camera collection.
7. device according to claim 6, it is characterised in that described device also includes:
Timestamp acquiring unit, after the reception continuous shooting enabled instruction of described image frame acquiring unit, obtains the continuous shooting and opens
The initial time stamp of dynamic instruction;
The timestamp acquiring unit, is additionally operable to obtain current time stamp;
Continuous shooting duration judging unit, for calculating continuous shooting duration according to the current time stamp and the initial time stamp, judges
Whether the continuous shooting duration is more than or equal to Second Threshold, if so, terminating continuous shooting;Otherwise, described image frame acquiring unit is obtained
The acquired image frames containing face-image of the camera collection.
8. device according to claim 6, it is characterised in that described device also includes:
The acquired image frames are set to reference picture for the reference image setting unit and deposited by Dynamic Graph synthesis unit
After storage, Dynamic Graph generation instruction is received, is obtained as reference picture and stored picture frame, according to described as with reference to figure
Picture and stored picture frame generation Dynamic Graph.
9. device according to claim 6, it is characterised in that described image frame acquiring unit includes:
Cache image frame obtains subelement, multiple cache images containing face-image for obtaining the camera collection
Frame;
Focusing evaluation of estimate computation subunit, the focusing evaluation for calculating each cache image frame in multiple described cache image frames
Value, focusing evaluation of estimate is the definition reference value of focusing area;
Acquired image frames choose subelement, for choosing the maximum cache image of focusing evaluation of estimate in multiple described cache image frames
Frame is used as the acquired image frames.
10. device according to claim 6, it is characterised in that the facial features localization unit includes:
Face characteristic obtains subelement, the coordinate value for obtaining face characteristic in the acquired image frames;
The face characteristic obtains subelement, is additionally operable to obtain the coordinate value of face characteristic in the reference picture;
Face characteristic judgment sub-unit, for judging the coordinate value of face characteristic and the acquired image frames in the reference picture
Whether the difference between the coordinate value of middle face characteristic is more than or equal to the threshold value, if so, the reference image setting unit
The acquired image frames are set to reference picture and stored;Adopted if it is not, described image frame acquiring unit obtains the camera
The acquired image frames containing face-image of collection.
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