CN104683692A - Continuous shooting method and continuous shooting device - Google Patents
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- H—ELECTRICITY
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
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Abstract
The embodiment of the invention discloses a continuous shooting method and a continuous shooting device. The continuous shooting method comprises the following steps of receiving a continuous shooting start instruction, acquiring an initial image frame which is collected by a camera and includes a facial image, and regarding the initial image frame as a reference image and storing the initial image frame; acquiring a collected image frame which is collected by the camera and includes the facial image; detecting a difference value between facial feature information in the collected image frame and the facial feature information of the reference image; when the difference value is more than or equal to a threshold value, setting the collected image frame as the reference image and storing the collected image frame, and carrying out the step of acquiring the collected image frame collected by the camera and including the facial image. By adopting the continuous shooting method and the continuous shooting device, a terminal resource can be saved, and the accuracy of capturing a useful image frame in a continuous shooting process is improved.
Description
Technical field
The present invention relates to field of terminal, particularly relate to a kind of continuous shooting method and device.
Background technology
Along with the development of terminal technology, the integrated function of terminal gets more and more, and becomes a part indispensable in people's life gradually.Wherein, GIF (Graphic Interchange Format, graphic interchange format) the Dynamic Graph pattern that terminal provides very tool is interesting, dark liking by users.The principle of this GIF Dynamic Graph is: in a gif file, store multiple image, the multiple image data be stored in a gif file is read by width and shows thus form the simplest animation of one.The picture frame that in actual use procedure, user adopts burst mode candid photograph to have continuous action or expression is usually used as the raw data of GIF Dynamic Graph synthesis, in prior art, burst mode normally adopts Fixed Time Interval acquired image frames as continuous shooting image, in order to make the image captured, there is continuity, this Fixed Time Interval arranges shorter, but user does and to express one's feelings or the speed of action does not often catch up with the speed that camera carries out continuous shooting, therefore some fuzzy or unwanted picture frames done in expression process that move can be grabbed in continuous shooting process, the storage resources of waste terminal.
Summary of the invention
Embodiments provide a kind of continuous shooting method and device, the storage resources of terminal can be saved, improve the accuracy capturing useful picture frame in continuous shooting process.
Embodiments provide a kind of continuous shooting method, described continuous shooting method comprises:
Receive continuous shooting enabled instruction, obtain the start image frame containing face-image of camera collection, using described start image frame as storing with reference to image;
Obtain the acquired image frames containing face-image of described camera collection;
Detect the difference value of the face characteristic information of face characteristic information in described acquired image frames and described reference picture;
When described difference value is more than or equal to threshold value, described acquired image frames is set to reference picture and stores, performing the step of the acquired image frames containing face-image obtaining described camera collection.
Accordingly, embodiments provide a kind of continuous shooting device, described device comprises:
Picture frame acquiring unit, for receiving continuous shooting enabled instruction, obtains the start image frame containing face-image of camera collection;
Reference image setting unit, for using described start image frame as with reference to image storing;
Described picture frame acquiring unit, also for obtaining the acquired image frames containing face-image of described camera collection;
Facial features localization unit, for detecting the difference value of the face characteristic information of face characteristic information in described acquired image frames and described reference picture;
Described reference image setting unit, also for when described difference value is more than or equal to threshold value, is set to reference picture by described acquired image frames and stores.
The embodiment of the present invention, can receive continuous shooting enabled instruction, obtain camera collection containing the start image frame of face-image, using described start image frame as storing with reference to image; Also can obtain the acquired image frames containing face-image of described camera collection; Detect the difference value of the face characteristic information of face characteristic information in described acquired image frames and described reference picture; And then when described difference value is greater than threshold value, described acquired image frames is set to reference picture and stores, perform the step of the acquired image frames containing face-image obtaining described camera collection, the storage resources of terminal can be saved, improve the accuracy capturing useful picture frame in continuous shooting process, improve Consumer's Experience.
Accompanying drawing explanation
In order to be illustrated more clearly in embodiment of the present invention technical scheme, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of continuous shooting method schematic flow sheet that the embodiment of the present invention provides;
Fig. 2 is the another kind of continuous shooting method schematic flow sheet that the embodiment of the present invention provides;
Fig. 3 is a kind of continuous shooting apparatus structure schematic diagram that the embodiment of the present invention provides;
Fig. 4 is the picture frame acquiring unit structural representation that the embodiment of the present invention provides;
Fig. 5 is the facial features localization cellular construction schematic diagram that the embodiment of the present invention provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
In specific implementation, terminal mentioned in the embodiment of the present invention includes but not limited to: the electronic equipment such as smart mobile phone (as Android phone, IOS mobile phone), panel computer, notebook computer, palmtop PC, digital camera.Method described by the embodiment of the present invention is performed by the one group of code be stored in terminal memory, and this code is executed in the computer system based on von Neumann system.
A kind of continuous shooting method provided the embodiment of the present invention below in conjunction with Fig. 1 to Fig. 5 and device are specifically described.
See Fig. 1, be a kind of continuous shooting method schematic flow sheet that the embodiment of the present invention provides, continuous shooting method as shown in the figure can comprise the following steps:
S101, receives continuous shooting enabled instruction, obtain the start image frame containing face-image of camera collection, using described start image frame as storing with reference to image.
In specific implementation, first can start camera and select burst mode arranging in menu of terminal, camera just carries out auto-focusing after entering viewfinder mode, user inputs photographing instruction and is just considered as the enabled instruction of input continuous shooting when getting out posture, wherein, the input of photographing instruction has various ways, can be that user clicks key triggering of taking pictures, also can be terminal under time delay exposal model, terminal take pictures time delay arrive time trigger.Continuous shooting method in the present embodiment, its main application scenarios is gather the continuous shooting image comprising character face's image, therefore when terminal receives continuous shooting instruction, camera collection contains the start image frame of face-image, using described start image frame as with reference to image storing, as first image photographed in continuous shooting process.
S102, obtains the acquired image frames containing face-image of described camera collection.
In step S101, the start image frame arrived by camera collection is after reference image, and camera continues to find a view and carries out auto-focusing, to gather the acquired image frames containing face-image, waits other images in continuous shooting process to be captured.
S103, detects the difference value of the face characteristic information of face characteristic information in described acquired image frames and described reference picture.
In specific implementation, this step can based on face recognition technology, first Face datection (judge whether to there is face-image in the background of complexity and it split from background) is carried out to obtain the face-image that it comprises to acquired image frames and reference picture, then sample to carry out face characteristic information extraction to the face-image comprised in acquired image frames and reference picture, and then the difference value of the face characteristic information of the face characteristic information detected in described acquired image frames and described reference picture.The method of Face datection includes but not limited to: reference template method, face rule method, sample learning method, complexion model method or the sub-face method of feature etc.The extraction of face characteristic information generally includes: feature vector method and face line template.Wherein, the feature vector method of recognition of face refers to: determine the image surface face profiles such as an iris, the wing of nose, the corners of the mouth the attribute such as size, position, distance, then calculate the geometric feature (Euclidean distance, curvature, angle) of each characteristic point in image surface face profile or algebraic characteristic amount (matrix character vector) facial characteristics in order to Description Image frame septum reset image.
In the present embodiment, the face feature point of acquired image frames and reference picture septum reset image can be obtained (as the corners of the mouth, the wing of nose, canthus, eye is wide, nose, brows, eyebrow tail) coordinate information in picture frame, then the coordinate difference of each face feature point and corresponding face feature point each in reference picture in acquired image frames is detected respectively, to judge face-image in acquired image frames whether espressiove or change in location, the change of the distance such as between brows can judge whether face has beetle-browed expression, distance change between nose and canthus can judge the expression whether having wrinkle nose in face.
Such as, the threshold value arranging the transverse and longitudinal coordinate difference value of corners of the mouth characteristic point A point and B point in face characteristic is 0.5, after acquired image frames and reference picture being done to Face datection and face characteristic information extraction, the coordinate obtaining corners of the mouth A point and B point in acquired image frames is respectively (0.5, 1.5) and (2.5, 1.5), in reference picture, the coordinate of corners of the mouth A point and B point is respectively (1, 1) and (2, 1), therefore can detect that the transverse and longitudinal coordinate difference value of A point and B point in acquired image frames and reference picture is for being respectively 0.5, equal default threshold value, now perform step S104, described acquired image frames is set to reference picture and stores.Wherein, the difference of the abscissa of corners of the mouth A point and B point can represent the length of face, the difference of the ordinate of corners of the mouth A point and B point can represent the difference in height of the described corners of the mouth, the known face relative to reference picture septum reset image, face length in acquired image frames septum reset image increases to some extent and the corners of the mouth raises up to some extent, therefore can judge relative to the face in reference picture septum reset image, face in acquired image frames has and becomes smile's state, is espressiove change relative to the face-image in reference picture acquired image frames.
S104, when described difference value is more than or equal to threshold value, is set to reference picture by described acquired image frames and stores, and performs the step of the acquired image frames containing face-image obtaining described camera collection.
The present embodiment is after being set to reference picture and also storing by described acquired image frames, if the required image gathered of this continuous shooting does not complete, can transfer circulates performs step S102 ~ S104 until complete this continuous shooting.
In another embodiment, described acquired image frames is set to reference picture and after storing step in execution, described method also comprises: judge whether the quantity of the described picture frame as also storing with reference to image is more than or equal to first threshold, if so, terminates continuous shooting; Otherwise, perform the step of the acquired image frames containing face-image of the described camera collection of described acquisition.
In specific implementation, can the amount of images of taking needed for this continuous shooting be specified as first threshold while startup camera selects burst mode, usual terminal provides 4 continuous shootings, 6 continuous shootings, 8 continuous shootings or 16 burst mode options for user to select, and also can select the quantity of photographic images needed for self-defined continuous shooting after burst mode.Terminal often takes an image in continuous shooting process, just judges whether the image captured by this continuous shooting reaches default first threshold, if so, then terminates this continuous shooting; If not, continue circulation and perform step S102 ~ S104 until complete this continuous shooting.
In another embodiment, after execution receives continuous shooting enabled instruction step, described method also comprises: the initial time stamp obtaining described continuous shooting enabled instruction.
Accordingly, the step of the acquired image frames containing face-image of the described camera collection of described acquisition also comprises: obtain current time stamp, continuous shooting duration is calculated according to described current time stamp and described initial time stamp, judge whether described continuous shooting duration is more than or equal to Second Threshold, if so, continuous shooting is terminated; Otherwise, perform the step of the acquired image frames containing face-image of the described camera collection of described acquisition.
In specific implementation, can in advance when selecting burst mode, continuous shooting duration needed for this continuous shooting is set as Second Threshold, after terminal receives the enabled instruction of reception continuous shooting, start timing, terminal often takes an image in continuous shooting process, just judges whether this continuous shooting duration reaches default Second Threshold, if so, this continuous shooting is then terminated; If not, continue circulation and perform step S102 ~ S104 until this continuous shooting duration reaches predetermined threshold value thus completes this continuous shooting.
In another embodiment, described acquired image frames is set to reference picture and after the step stored performing, described method also comprises: receive Dynamic Graph and generate instruction, obtain as with reference to image the picture frame be stored, according to described as with reference to image and the picture frame be stored generates Dynamic Graph.
In specific implementation, after this continuous shooting terminates, the image making that this continuous shooting is taken directly or according to user's request can be become GIF Dynamic Graph by terminal, improves the interest of burst mode.
In another embodiment, step S102 can comprise step:
11) multiple cache image frames containing face-image of described camera collection, are obtained;
12) the focusing evaluation of estimate of each cache image frame in multiple cache image frames described, is calculated;
13) the maximum cache image frame of evaluation of estimate of focusing, is chosen in multiple cache image frames described as described acquired image frames.
After terminal obtains first continuous shooting image, terminal contains multiple cache image frames of face-image by camera collection, and calculate the focusing evaluation of estimate of often opening focusing area in picture frame simultaneously, evaluation of estimate of wherein focusing is the definition reference value (as sharpness value) of focusing area, then from wherein selecting to focus the maximum cache image frame of evaluation of estimate as acquired image frames, acquired image frames relatively clearly can be obtained and, to increase the definition of continuous shooting image, there is certain stabilization effect.
The embodiment of the present invention, can receive continuous shooting enabled instruction, obtain camera collection containing the start image frame of face-image, using described start image frame as storing with reference to image; Also can obtain the acquired image frames containing face-image of described camera collection; Detect the difference value of the face characteristic information of face characteristic information in described acquired image frames and described reference picture; And then when described difference value is greater than threshold value, described acquired image frames is set to reference picture and stores, perform the step of the acquired image frames containing face-image obtaining described camera collection, the storage resources of terminal can be saved, improve the accuracy capturing useful picture frame in continuous shooting process, improve Consumer's Experience.
See Fig. 2, be the another kind of continuous shooting method schematic flow sheet that the embodiment of the present invention provides, continuous shooting method as shown in the figure can comprise the following steps:
S201, receives continuous shooting enabled instruction, obtain the start image frame containing face-image of camera collection, using described start image frame as storing with reference to image.
S202, obtains the acquired image frames containing face-image of described camera collection.
S203, obtains the coordinate figure of face characteristic in described acquired image frames and described reference picture respectively.
In specific implementation, this step can based on face recognition technology, first Face datection (judge whether to there is face-image in the background of complexity and it split from background) is carried out to obtain the face-image that it comprises to acquired image frames and reference picture, then the coordinate figure obtaining human face characteristic point is sampled to the face-image comprised in acquired image frames and reference picture.
S204, whether the difference between the coordinate figure judging face characteristic in the coordinate figure of face characteristic in reference picture and described acquired image frames is more than or equal to threshold value.
If in reference picture in the coordinate figure of face characteristic and acquired image frames face characteristic coordinate figure between difference be more than or equal to threshold value and continue to perform step S205.Such as, the threshold value arranging the transverse and longitudinal coordinate difference value of corners of the mouth characteristic point A point and B point in face characteristic is 0.5, after acquired image frames and reference picture being done to Face datection and face characteristic information extraction, the coordinate obtaining corners of the mouth A point and B point in acquired image frames is respectively (0.5, 1.5) and (2.5, 1.5), in reference picture, the coordinate of corners of the mouth A point and B point is respectively (1, 1) and (2, 1), therefore can detect that the transverse and longitudinal coordinate difference value of A point and B point in acquired image frames and reference picture is be respectively 0.5 threshold value equaling default, now perform step S205.Optionally, if in reference picture in the coordinate figure of face characteristic and acquired image frames face characteristic coordinate figure between difference be less than threshold value, then perform step S202.
S205, is set to reference picture by described acquired image frames and stores.
S206, judges whether the quantity of the described picture frame as also storing with reference to image is more than or equal to first threshold.
Can the amount of images of taking needed for this continuous shooting be specified as first threshold while startup camera selects burst mode in specific implementation, usual terminal provides 4 continuous shootings, 6 continuous shootings, 8 continuous shootings or 16 burst mode options for user to select, and also can select the quantity of photographic images needed for self-defined continuous shooting after burst mode.Terminal often takes an image in continuous shooting process, just judges whether the image captured by this continuous shooting reaches default first threshold, if so, then terminates this continuous shooting; If not, transfer to perform step S202 ~ S206 until complete this continuous shooting.
S207, terminates continuous shooting.
The embodiment of the present invention, the start image frame containing face-image of camera collection can be obtained when receiving continuous shooting enabled instruction, using described start image frame as with reference to image storing, also can obtain the acquired image frames containing face-image of described camera collection, and then obtain respectively face characteristic in described acquired image frames and described reference picture coordinate figure and in the coordinate figure judging face characteristic in reference picture and described acquired image frames face characteristic coordinate figure between difference when being more than or equal to threshold value, described acquired image frames is set to reference picture and stores, then judge whether the quantity of the described picture frame as also storing with reference to image is more than or equal to first threshold, and terminate this continuous shooting when its judged result is for being, the storage resources of terminal can be saved, improve the accuracy capturing useful picture frame in continuous shooting process, improve Consumer's Experience.
See Fig. 3, a kind of continuous shooting apparatus structure schematic diagram that the embodiment of the present invention provides, continuous shooting device as shown in the figure at least can comprise: 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, obtains the start image frame containing face-image of camera collection.
In specific implementation, first can start camera and select burst mode arranging in menu of terminal, camera just carries out auto-focusing after entering viewfinder mode, user inputs photographing instruction and is just considered as the enabled instruction of input continuous shooting when getting out posture, wherein, the input of photographing instruction has various ways, can be that user clicks key triggering of taking pictures, also can be terminal under time delay exposal model, terminal take pictures time delay arrive time trigger.Continuous shooting method in the present embodiment, its main application scenarios is gather the continuous shooting image comprising character face's image, therefore when picture frame acquiring unit 301 receives continuous shooting instruction, picture frame acquiring unit 301 contains the start image frame of face-image by camera collection, reference image setting unit 302 using described start image frame as with reference to image storing, as first image photographed in continuous shooting process.
Reference image setting unit 302, for using described start image frame as with reference to image storing.
Described picture frame acquiring unit 301, also for obtaining the acquired image frames containing face-image of described camera collection.
Reference image setting unit 302 is using described start image frame after reference image, and camera continues to find a view and carries out auto-focusing, to gather the acquired image frames containing face-image, waits other images in continuous shooting process to be captured.
Facial features localization unit 303, for detecting the difference value of the face characteristic information of face characteristic information in described acquired image frames and described reference picture.
In specific implementation, facial features localization unit 303 can based on face recognition technology, first Face datection (judge whether to there is face-image in the background of complexity and it split from background) is carried out to obtain the face-image that it comprises to acquired image frames and reference picture, then sample to carry out face characteristic information extraction to the face-image comprised in acquired image frames and reference picture, and then the difference value of the face characteristic information of the face characteristic information detected in described acquired image frames and described reference picture.The method of Face datection includes but not limited to: reference template method, face rule method, sample learning method, complexion model method or the sub-face method of feature etc.The extraction of face characteristic information generally includes: feature vector method and face line template.Wherein, the feature vector method of recognition of face refers to: determine the image surface face profiles such as an iris, the wing of nose, the corners of the mouth the attribute such as size, position, distance, then calculate the geometric feature (Euclidean distance, curvature, angle) of each characteristic point in face profiles or algebraic characteristic amount (matrix character vector) facial characteristics in order to Description Image frame septum reset image.
In the present embodiment, the face feature point of acquired image frames and reference picture septum reset image can be obtained (as the corners of the mouth, the wing of nose, canthus, eye is wide, nose, brows, eyebrow tail) coordinate information in picture frame, then the coordinate difference of each face feature point and corresponding face feature point each in reference picture in acquired image frames is detected respectively, to judge face-image in acquired image frames whether espressiove or change in location, the change of the distance such as between brows can judge whether face has beetle-browed expression, distance change between nose and canthus can judge the expression whether having wrinkle nose in face.
Such as, the threshold value arranging the transverse and longitudinal coordinate difference value of corners of the mouth characteristic point A point and B point in face characteristic is 0.5, after acquired image frames and reference picture being done to Face datection and face characteristic information extraction, the coordinate obtaining corners of the mouth A point and B point in acquired image frames is respectively (0.5, 1.5) and (2.5, 1.5), in reference picture, the coordinate of corners of the mouth A point and B point is respectively (1, 1) and (2, 1), therefore can detect that the transverse and longitudinal coordinate difference value of A point and B point in acquired image frames and reference picture is for being respectively 0.5, equal default threshold value, described acquired image frames is set to reference picture and stores by described reference image setting unit 302.Wherein, the difference of the abscissa of corners of the mouth A point and B point can represent the length of face, the difference of the ordinate of corners of the mouth A point and B point can represent the difference in height of the described corners of the mouth, the known face relative to reference picture septum reset image, face length in acquired image frames septum reset image increases to some extent and the corners of the mouth raises up to some extent, therefore can judge relative to the face in reference picture septum reset image, face in acquired image frames has and becomes smile's state, is espressiove change relative to the face-image in reference picture acquired image frames.
Described reference image setting unit 302, also for when described difference value is more than or equal to threshold value, is set to reference picture by described acquired image frames and stores.
The present embodiment is after described acquired image frames to be set to reference picture and to store by described reference image setting unit 302, if the required image gathered of this continuous shooting does not complete can continue through described picture frame acquiring unit 301, described reference image setting unit 302 and described facial features localization unit 303 completes the collection of continuous shooting image until this continuous shooting terminates.
In another embodiment, described continuous shooting device also comprises: amount of images judging unit 304, described acquired image frames is set to reference picture for described reference image setting unit and after storing, judge whether the quantity of the described picture frame as also storing with reference to image is more than or equal to first threshold, if so, continuous shooting is terminated; Otherwise described picture frame acquiring unit 301 obtains the acquired image frames containing face-image of described camera collection.
In specific implementation, can the amount of images of taking needed for this continuous shooting be specified as first threshold while startup camera selects burst mode, usual terminal provides 4 continuous shootings, 6 continuous shootings, 8 continuous shootings or 16 burst mode options for user to select, and also can select the quantity of photographic images needed for self-defined continuous shooting after burst mode.In continuous shooting process, often take an image, amount of images judging unit 304 just judges whether the image captured by this continuous shooting reaches default first threshold, if so, then terminates this continuous shooting; If not, continue through described picture frame acquiring unit 301, described reference image setting unit 302 and described facial features localization unit 303 take continuous shooting image until complete this continuous shooting.
In another embodiment, described continuous shooting device also comprises: timestamp acquiring unit 305, after receiving continuous shooting enabled instruction, obtains the initial time stamp of described continuous shooting enabled instruction for described picture frame acquiring unit.
Described timestamp acquiring unit 305, also for obtaining current time stamp.
Accordingly, described continuous shooting device also comprises: continuous shooting duration judging unit 306, for calculating continuous shooting duration according to described current time stamp and described initial time stamp, judges whether described continuous shooting duration is more than or equal to Second Threshold, if so, terminates continuous shooting; Otherwise described picture frame acquiring unit 301 obtains the acquired image frames containing face-image of described camera collection.
In specific implementation, can in advance when selecting burst mode, continuous shooting duration needed for this continuous shooting is set as Second Threshold, after terminal receives the enabled instruction of reception continuous shooting, timestamp acquiring unit 305 obtains continuous shooting initial time, start timing, an image is often taken in continuous shooting process, timestamp acquiring unit 305 obtains current time to calculate continuous shooting duration, continuous shooting duration judging unit 306 just judges whether this continuous shooting duration reaches default Second Threshold, if so, this continuous shooting is then terminated; If not, continue through described picture frame acquiring unit 301, described reference image setting unit 302, described facial features localization unit 303 take continuous shooting image until this continuous shooting duration reaches predetermined threshold value thus completes this continuous shooting.
In another embodiment, described continuous shooting device also comprises: Dynamic Graph synthesis unit 307, described acquired image frames is set to reference picture for described reference image setting unit and after storing, receive Dynamic Graph and generate instruction, obtain as with reference to image the picture frame be stored, according to described as with reference to image and the picture frame be stored generates Dynamic Graph.
After continuous shooting terminates, the image making that this continuous shooting is taken directly or according to user's request can be become GIF Dynamic Graph by Dynamic Graph synthesis unit 307, improves the interest of burst mode.
See Fig. 4, the picture frame acquiring unit structural representation that the embodiment of the present invention provides, picture frame acquiring unit 301 as shown in the figure can comprise: cache image frame obtains subelement 3101, and focusing evaluation of estimate computation subunit 3102, acquired image frames chooses subelement 3103.
Cache image frame obtains subelement 3101, for obtaining multiple cache image frames containing face-image of described camera collection.
Focusing evaluation of estimate computation subunit 3102, for calculating the focusing evaluation of estimate of each cache image frame in multiple cache image frames described.
Acquired image frames chooses subelement 3103, for choosing in multiple cache image frames described the maximum cache image frame of evaluation of estimate of focusing as described acquired image frames.
After acquisition first continuous shooting image, cache image frame obtains subelement 3101 contains face-image multiple cache image frames by camera collection, focusing evaluation of estimate computation subunit 3102 calculates the focusing evaluation of estimate of often opening focusing area in cache image frame, evaluation of estimate of wherein focusing is the definition reference value (as sharpness value) of focusing area, then acquired image frames chooses subelement 3103 from the cache image frame wherein selecting focusing evaluation of estimate maximum as acquired image frames, can obtain relatively clearly acquired image frames to increase the definition of continuous shooting image, there is certain stabilization effect.
See Fig. 5, the facial features localization cellular construction schematic diagram that the embodiment of the present invention provides, facial features localization unit 303 as shown in the figure can comprise: face characteristic obtains subelement 3301 and face characteristic judgment sub-unit 3303.
Face characteristic obtains subelement 3301, for obtaining the coordinate figure of face characteristic in described acquired image frames.
In specific implementation, face characteristic obtains subelement 3301 can based on face recognition technology, first Face datection (judge whether to there is face-image in the background of complexity and it split from background) is carried out to obtain the face-image that it comprises to acquired image frames, then the coordinate figure obtaining human face characteristic point is sampled to the face-image comprised in acquired image frames and reference picture.
Described face characteristic obtains subelement 3301, also for obtaining the coordinate figure of face characteristic in described reference picture.
Face characteristic judgment sub-unit 3302, for judge face characteristic in the coordinate figure of face characteristic in described reference picture and described acquired image frames coordinate figure between difference whether be greater than threshold value, if so, described acquired image frames is set to reference picture and stores by described reference image setting unit 302; If not, described picture frame acquiring unit 301 obtains the acquired image frames containing face-image of described camera collection.
Such as, the threshold value arranging the transverse and longitudinal coordinate difference value of corners of the mouth characteristic point A point and B point in face characteristic is 0.5, the coordinate that face characteristic acquisition subelement 3301 obtains corners of the mouth A point and B point in acquired image frames is respectively (0.5, 1.5) and (2.5, 1.5), in reference picture, the coordinate of corners of the mouth A point and B point is respectively (1, 1) and (2, 1), therefore face characteristic judgment sub-unit 3302 can detect that the transverse and longitudinal coordinate difference value of A point and B point in acquired image frames and reference picture is for being respectively 0.5, equal default threshold value, now described acquired image frames is set to reference picture and stores by reference image setting unit 302.
Above a kind of continuous shooting method disclosed in the embodiment of the present invention and device are described in detail, above disclosedly be only present pre-ferred embodiments, certainly the interest field of the present invention can not be limited with this, therefore according to the equivalent variations that the claims in the present invention are done, the scope that the present invention is contained still is belonged to.
Claims (12)
1. a continuous shooting method, is characterized in that, comprising:
Receive continuous shooting enabled instruction, obtain the start image frame containing face-image of camera collection, using described start image frame as storing with reference to image;
Obtain the acquired image frames containing face-image of described camera collection;
Detect the difference value of the face characteristic information of face characteristic information in described acquired image frames and described reference picture;
When described difference value is more than or equal to threshold value, described acquired image frames is set to reference picture and stores, performing the step of the acquired image frames containing face-image obtaining described camera collection.
2. method according to claim 1, is characterized in that, described described acquired image frames is set to reference picture and store after, also comprise:
Judge whether the quantity of the described picture frame as also storing with reference to image is more than or equal to first threshold, if so, terminates continuous shooting; Otherwise, perform the step of the acquired image frames containing face-image of the described camera collection of described acquisition.
3. method according to claim 1, is characterized in that, after described reception continuous shooting enabled instruction step, also comprises:
Obtain the initial time stamp of described continuous shooting enabled instruction;
The step of the acquired image frames containing face-image of the described camera collection of described acquisition also comprises:
Acquisition current time is stabbed, and calculates continuous shooting duration, judge whether described continuous shooting duration is more than or equal to Second Threshold, if so, terminates continuous shooting according to described current time stamp and described initial time stamp; Otherwise, perform the step of the acquired image frames containing face-image of the described camera collection of described acquisition.
4. method according to claim 1, is characterized in that, described described acquired image frames is set to reference picture and store step after also comprise:
Receive Dynamic Graph and generate instruction, obtain as with reference to image the picture frame be stored, according to described as with reference to image and the picture frame be stored generates Dynamic Graph.
5. method according to claim 1, is characterized in that, the acquired image frames containing face-image of the described camera collection of described acquisition comprises:
Obtain multiple cache image frames containing face-image of described camera collection;
Calculate the focusing evaluation of estimate of each cache image frame in multiple cache image frames described;
Choose in multiple cache image frames described the maximum cache image frame of evaluation of estimate of focusing as described acquired image frames.
6. method according to claim 1, is characterized in that, the difference value of the face characteristic information of the described acquired image frames of described detection and described reference picture comprises:
Obtain the coordinate figure of face characteristic in described acquired image frames;
Obtain the coordinate figure of face characteristic in described reference picture;
Whether the difference between the coordinate figure judging face characteristic in the coordinate figure of face characteristic in described reference picture and described acquired image frames is greater than or equal to described threshold value, if so, performs and described acquired image frames is set to reference picture and storing step; If not, the acquired image frames step containing face-image obtaining described camera collection is performed.
7. a continuous shooting device, is characterized in that, comprising:
Picture frame acquiring unit, for receiving continuous shooting enabled instruction, obtains the start image frame containing face-image of camera collection;
Reference image setting unit, for using described start image frame as with reference to image storing;
Described picture frame acquiring unit, also for obtaining the acquired image frames containing face-image of described camera collection;
Facial features localization unit, for detecting the difference value of the face characteristic information of face characteristic information in described acquired image frames and described reference picture;
Described reference image setting unit, also for when described difference value is more than or equal to threshold value, is set to reference picture by described acquired image frames and stores.
8. device according to claim 7, is characterized in that, described device also comprises:
Amount of images judging unit, described acquired image frames is set to reference picture for described reference image setting unit and after storing, judge whether the quantity of the described picture frame as also storing with reference to image is more than or equal to first threshold, if so, terminates continuous shooting; Otherwise described picture frame acquiring unit obtains the acquired image frames containing face-image of described camera collection.
9. device according to claim 7, is characterized in that, described device also comprises:
Timestamp acquiring unit, after receiving continuous shooting enabled instruction, obtains the initial time stamp of described continuous shooting enabled instruction for described picture frame acquiring unit;
Described timestamp acquiring unit, also for obtaining current time stamp;
Continuous shooting duration judging unit, for calculating continuous shooting duration according to described current time stamp and described initial time stamp, judges whether described continuous shooting duration is more than or equal to Second Threshold, if so, terminates continuous shooting; Otherwise described picture frame acquiring unit obtains the acquired image frames containing face-image of described camera collection.
10. device according to claim 7, is characterized in that, described device also comprises:
Dynamic Graph synthesis unit, described acquired image frames is set to reference picture for described reference image setting unit and after storing, receive Dynamic Graph and generate instruction, obtain as with reference to image the picture frame be stored, according to described as with reference to image and the picture frame be stored generates Dynamic Graph.
11. devices according to claim 7, is characterized in that, described picture frame acquiring unit comprises:
Cache image frame obtains subelement, for obtaining multiple cache image frames containing face-image of described camera collection;
Focusing evaluation of estimate computation subunit, for calculating the focusing evaluation of estimate of each cache image frame in multiple cache image frames described;
Acquired image frames chooses subelement, for choosing in multiple cache image frames described the maximum cache image frame of evaluation of estimate of focusing as described acquired image frames.
12. devices according to claim 7, is characterized in that, described facial features localization unit comprises:
Face characteristic obtains subelement, for obtaining the coordinate figure of face characteristic in described acquired image frames;
Described face characteristic obtains subelement, also for obtaining the coordinate figure of face characteristic in described reference picture;
Face characteristic judgment sub-unit, for judge face characteristic in the coordinate figure of face characteristic in described reference picture and described acquired image frames coordinate figure between difference whether be more than or equal to described threshold value, if so, described acquired image frames is set to reference picture and stores by described reference image setting unit; If not, described picture frame acquiring unit obtains the acquired image frames containing face-image of described camera collection.
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Also Published As
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|---|---|
| CN107483834A (en) | 2017-12-15 |
| CN107483834B (en) | 2020-01-14 |
| CN104683692B (en) | 2017-10-17 |
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