CN101917548A - Image pickup device and method for adaptively adjusting picture - Google Patents
Image pickup device and method for adaptively adjusting picture Download PDFInfo
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Abstract
The invention discloses an image pickup device for adaptively adjusting a picture. The image pickup device comprises an image acquisition module, a human face detection module and a picture adjustment module, wherein the image acquisition module acquires video stream; the human face detection module performs human face detection on an image in the video stream to determine the human face direction in the image; the picture adjustment module adjusts the picture display direction of the video stream according to the human face direction. The invention also discloses a method for adaptively adjusting the picture at the same time. The method comprises the following steps of: acquiring the video stream; performing the human face detection on the image in the video stream to determine the human face direction in the image; and adjusting the picture display direction of the video stream according to the human face direction. Compared with the prior art, the method has the advantages of adaptively adjusting the picture display direction of digital equipment or electronic equipment with the image pickup device through quick human face detection, and greatly improving the use comfort and usability of users.
Description
[technical field]
The present invention relates to image processing field, particularly a kind ofly carry out that people's face detects and method and the device of adjusting picture automatically according to facial image.
[background technology]
Digital equipment is one of requisite article in people's daily life.Along with the development of chip fabrication techniques and graph and image processing technology, digital equipment or electronic system with image or video acquisition device have incorporated modern society more and more, such as the mobile phone and the panel computer of video monitoring equipment, band camera.
In the process of using these equipment or system, because the difference of environment for use may cause there are differences between direction that picture shows and actual observation person's the normal visual angle.With the video monitoring equipment is example, rig camera needs to be subjected to various restrictions such as space, installation site, interior decoration layout and power-supply wiring sometimes when initial the installation, and have to take some compromise methods, being that rig camera is upright such as the normal mounting method is fixed on the horizontal seat, is fixed on the corner of ceiling but have to sometimes stand upside down.This moment, the monitored picture of rig camera must stand upside down simultaneously, and traditional solution is to adjust relevant configuration parameter manually, but such solution is comparatively inconvenient for the layman.
And use in the occasion of the mobile phone comprise camera and panel computer at other, the user may use image or video acquisition device to take pictures or video calling.At this moment owing to the mode difference of user's hand-held digital equipment,, be not easy to the user and browse the picture content displayed such as the adept machine that stands upside down.Though more existing digital equipments the inside has been equipped with the gravity sensing transducer, can allow the upright all the time demonstration of picture of digital equipment.But will be appreciated that physics cost, the design cost straight line that makes digital equipment of joining that add of gravity sensing transducer increases.
Therefore, demand proposing technical scheme a kind of advanced person, that can overcome above-mentioned shortcoming urgently.
[summary of the invention]
The object of the present invention is to provide a kind of camera head and method of adaptively adjusting picture, it can carry out people's face according to the image of gathering and detect and then adjust automatically picture display direction.
In order to reach purpose of the present invention, according to an aspect of the present invention, the invention provides a kind of camera head of adaptively adjusting picture, described camera head comprises: image capture module, images acquired or video flowing; People's face detection module carries out people's face to the image of image capture module collection or video flowing and detects to determine the people's face direction in described image or the video flowing; With the picture adjusting module, adjust the picture display direction of described image or video flowing according to described people's face direction.
Further, described people's face detection module comprises upright people's face detecting unit and image rotary unit,
Described upright people's face detecting unit, whether the image that detects in described image or the video flowing comprises the face characteristic zone; Described image rotary unit when described upright people's face detecting unit does not detect face characteristic when zone, continues to utilize described upright people's face detecting unit to carry out people's face after according to the predetermined angular rotation image in described image or the video flowing and detects.
Further, described picture adjusting module is adjusted the picture display direction of described image or video flowing so that the people's face direction in the image in adjusted described image or the video flowing is upright.
Further, before not to the rotation of the image in described image or the video flowing, if described upright people's face detecting unit detects the face characteristic zone, think that then the people's face direction in the image in described image or the video flowing is upright, described picture adjusting module keeps the picture display direction of described image or video flowing constant.
Further, described predetermined angular 180 degree, after to the described image rotation in described image or the video flowing, if described upright people's face detecting unit detects the face characteristic zone, then think people's face direction in the image in the video flowing for standing upside down, described picture adjusting module turns upside down the every two field picture mirror image in described image or the video flowing or the Rotate 180 degree.
Further, described people's face direction comprises upright and stands upside down, if people's face direction that people's face detection module is determined is upright, described picture adjusting module keeps the picture display direction of described video flowing constant, if people's face direction that people's face detection module is determined is for standing upside down, described picture adjusting module turns upside down the every two field picture mirror image in described image or the video flowing or the Rotate 180 degree.
According to a further aspect in the invention, the present invention also provides a kind of method of adaptively adjusting picture, and described method comprises: images acquired or video flowing; Image or the image of gathering in the video flowing carried out the detection of people's face to determine the people's face direction in described image or the video flowing; With the picture display direction of adjusting described image or video flowing according to described people's face direction.
Further, describedly image in described image or the video flowing is carried out people's face detect: utilize folk prescription described image to be carried out people's face and detect to method for detecting human face to determine that the people's face direction in the described image comprises, determine that when detecting people's face described people's face direction is upright direction, when not detecting people's face, after described image carried out predetermined angular rotation, continue to utilize described folk prescription described image to be carried out people's face and detect, till detecting the face characteristic zone or to a two field picture anglec of rotation, reach 360 degree to determine people's face direction to method for detecting human face.
Further, when described image not being rotated,, then the picture display direction of described video flowing is not adjusted if detect people's face.
Further, the predetermined angular that described image is once rotated is clockwise or counterclockwise 90 degree, detect people's face behind described image rotation predetermined angular, then the picture display direction to described image or video flowing also rotates predetermined angular so that the people's face direction in the adjusted image is a forward.
Further, when the image in described image or the video flowing is carried out the detection of people's face with the people's face direction in definite described image, one two field picture is carried out each dextrorotation to be turn 90 degrees and carries out four people's faces at most and detect, introduce simultaneously a two field picture is carried out the detection counting n of people's face when detecting, described n is greater than 0 and smaller or equal to 4 integer; When a two field picture carried out the detection of people's face for the first time, described n was initialized as 1; When a two field picture clockwise or carry out people's face after being rotated counterclockwise 90 degree once more when detecting, described n increases by 1; Then when in image, detecting people's face, clockwise or be rotated counterclockwise (n-1) * 90 with the every two field picture in described image or the video flowing.
Compared with prior art, the present invention has realized including the picture display direction self adaptation adjustment of the digital equipment or the electronic equipment of camera head by fast face detecting method, thereby has improved comfort level and ease for use when the user uses greatly.
[description of drawings]
In conjunction with reaching ensuing detailed description with reference to the accompanying drawings, the present invention will be more readily understood, the structure member that wherein same Reference numeral is corresponding same, wherein:
Fig. 1 is a kind of camera head block diagram in one embodiment of adaptively adjusting picture;
Fig. 2 A-C is a kind of camera head work schematic diagram in one embodiment of adaptively adjusting picture;
Fig. 3 is a kind of method method flow diagram in one embodiment of adaptively adjusting picture;
Fig. 4 is for adopting the rig camera workflow diagram in one embodiment of adaptively adjusting picture method; With
Fig. 5 is for adopting the panel computer workflow diagram in one embodiment of adaptively adjusting picture method.
[embodiment]
For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
The present invention proposes a kind of camera head and method of adaptively adjusting picture.The camera head of the adaptively adjusting picture in specific embodiments of the invention and method detect people's face direction of judging in the video flowing of gathering by people's face, and then adjust picture display direction according to described people's face direction.
Please refer to Fig. 1, it shows a kind of camera head 100 block diagram in one embodiment of adaptively adjusting picture.The camera head 100 of described adaptively adjusting picture comprises image capture module 120, people's face detection module 140 and picture adjusting module 160.
Described image capture module 120 comprises the image or the video acquisition device of photo-sensitive cell (as ccd image sensor), camera and so on, it can be an independently video camera, it also can be image or video acquisition device that existing digital equipment or electronic system self are had, and described image capture module 120 can be gathered video flowing in real time.Choose a two field picture or multiple image image that described in the present invention image capture module 120 need be gathered in real time from described video acquisition device or the video flowing as image to be detected.Because might not comprise the face characteristic zone in the two field picture, so when choosing described image to be detected, can repeatedly choose among some embodiment according to predetermined space, choose a two field picture as image to be detected such as per 20 frames in the video flowing of gathering in real time, up to detecting the face characteristic zone.
140 pairs of described images of described people's face detection module or video flowing carry out people's face and detect to determine people's face direction.Human face detection tech is a mature technique comparatively in the Digital Image Processing.In general, the most frequently used method for detecting human face is to utilize learning model will organize testing image to be input into wherein more, and learning model can learn how to tell whether include predefined characteristics of image in the picture to be measured according to the predefined characteristics of image of institute (feature).No matter be active study framework for example: the study framework of neural network (neural network), expert system, fuzzy system (fuzzy) or sort-type for example: SVMs (Support Vector Machine, SVM), principal component analysis (Principal ComponentsAnlysis, PCA), all need the behavior that just can learn according to the characteristics of image that sets based on Snow grader method, based on the Boosting algorithm.So how setting up learning model is that the key that people's face detects is judged in influence with choosing suitable characteristics of image.
Under the performance that real-time is had relatively high expectations, described people's face detection module 140 can be selected the fast face detection algorithm for use.The fast face detection algorithm is owing to the characteristics of image of self choosing, and it is comparatively accurate that it detects upright people's face.When promptly adopting the fast face detection algorithm for image, the people's face direction in the image is detected the probability in face characteristic zone when being upright direction higher.People's face direction in certainly a lot of images differs and is decided to be upright direction, and at this moment the method that can take is: image to be detected is rotated according to predetermined angular, continue to utilize the fast face detection algorithm to detect then.For example utilize the fast face detection algorithm to realize upright people's face detecting unit, effective people's face detection side of this unit is to being the upright direction of image, and tolerance is about upright direction in each 30 degree.When utilizing this upright people's face detecting unit that image is carried out the detection of people's face, if the initial examination and measurement direction does not detect the face characteristic zone, described image rotation 30 degree can be continued check, till detecting the face characteristic zone or the described image anglec of rotation reach 360 degree.Certain described people's face detection module 140 concrete which kind of people's face detection algorithm of employing or technology are unimportant, should take all factors into consideration the amount of calculation and the demand of applied environment when specifically implementing, and improve the speed that people's face detects as much as possible.The mode of installing such as rig camera has only upright usually and stands upside down two kinds, and the computing capability of rig camera is limited, so can adopt the fast face detection algorithm only upright and handstand both direction to be carried out the detection of people's face for the image or the video flowing of rig camera collection; And the hand-held of panel computer can turn 90 degrees four kinds for upright, handstand, left-handed turning 90 degrees with dextrorotation, and the panel computer computing capability is more powerful, so can adopt the fast face detection algorithm that upright, handstand, left-handed turning 90 degrees are turn 90 degrees four direction with dextrorotation and carry out people's face and detect for the image of panel computer collection or video flowing.If the fast face detection algorithm tolerance that adopts is 30 degree, described panel computer even can take that per 30 degree of a two field picture are carried out people's face and detect, the advantage of this method is that the detection range to picture is exactly that 30 degree * equal 360 degree for 12 times, but the image that has all might need to carry out maximum 12 people's faces to be detected, at this moment, the real-time of whole people's face detection can decrease.
In one embodiment, described people's face detection module 140 further comprises upright people's face detecting unit 142 and image rotary unit 144, described upright people's face detecting unit 142 is responsible for detecting described image and whether is comprised the face characteristic zone in current direction, can determine that current people's face direction of described image is upright direction when detecting the face characteristic zone; When described upright people's face detecting unit 142 does not detect the face characteristic zone in current direction, continuing to utilize described upright people's face detecting unit 142 to carry out people's face described image rotary unit 144 rotates described image according to predetermined way after detects, till detecting the face characteristic zone or the described image anglec of rotation reach 360 degree, can obtain people's face direction of described image according to the anglec of rotation that detects face characteristic described image of when zone.For example, described upright people's face detecting unit 142 detected the face characteristic zone when described image dextrorotation turn 90 degrees, and showed that promptly people's face direction of described image has been offset 90 degree counterclockwise when being benchmark with upright people's face.
Described picture adjusting module 160 is adjusted the picture display direction of described image or video flowing so that the people's face direction in adjusted image or the video flowing is upright direction according to the result that described people's face detection module 140 detects, the direction when just the picture display direction of described video flowing being adjusted to upright people's face detecting unit 142 and detecting the face characteristic zone.Detect the face characteristic zone when stand upside down installing such as rig camera and stand upside down, then also picture is turned upside down when monitored picture shows, the monitored picture seen of user is exactly people's face image just immediately like this.
Mainly be to cause described people's face detection module 140 differences owing to the people's face detection algorithm that adopts is different among the wherein different embodiment.Because the difference of applied environment can cause the anglec of rotation difference of 144 pairs of described images of described image rotary unit, turn 90 degrees or be rotated counterclockwise at every turn 30 degree or the like in addition such as each dextrorotation.In one embodiment, in order to improve people's face detection speed, the image rotary unit is 180 degree to the predetermined anglec of rotation of described image, before not to the described image rotation in the video flowing, if upright people's face detecting unit detects the face characteristic zone, think that then people's face direction of the present image in the video flowing is upright, described picture adjusting module keeps the picture display direction of described video flowing constant; If after to the described image Rotate 180 degree in the video flowing, described upright people's face detecting unit detects the face characteristic zone, then think people's face direction of the present image in the video flowing for standing upside down, described picture adjusting module turns upside down the mirror image of the every two field picture in the video flowing also Rotate 180 degree or every two field picture.
Please refer to Fig. 2 A-C, it shows a kind of camera head work schematic diagram in one embodiment of adaptively adjusting picture.With the rig camera of installing that stands upside down is example, the working condition when Fig. 2 A has shown the camera head that does not adopt adaptively adjusting picture.Because being stood upside down, installs rig camera 202, so the image of the monitored personnel 206 in the monitored picture 204 that shows stands upside down; Fig. 2 B has shown that the camera head that adopts described adaptively adjusting picture carries out the working condition that people's face detects.Behind image that rig camera 202 is gathered or video Rotate 180 degree, detected the face characteristic zone by upright human-face detector 208, so determine that the image of rig camera 202 collections or the people's face direction in the video are the handstand direction, image that rig camera 202 is gathered or the direction behaviour face behind the video Rotate 180 degree be the direction of monitored picture just immediately; Fig. 2 C has shown the working condition behind the camera head that adopts adaptively adjusting picture, picture adjusting module 160 is all correspondingly adjusted to people's face direction just immediately according to upright human-face detector 208 detected people's face directions with each two field picture of rig camera 202 collections or the direction of video, each two field picture of rig camera 202 collections just or video also are rotated 180 degree after people's face detects or mirror image stands upside down up and down, and the picture that the user sees is a monitored picture 210.So, make display frame realize the self adaptation adjustment and made things convenient for the user.In sum, will be appreciated that, because it is less that the specific implementation of the camera head of described adaptively adjusting picture is changed hardware, only need just can realize the effect that needed gravity sensing transducer and so on hardware just can reach originally at the software of existing digital equipment or the integrated correlation function of electronic system.But choosing with implementation of concrete people's face detection algorithm has diversity, and comprehensively the computing capability of hardware platform and concrete environment for use are optimized and arrive people's face detection speed as quickly as possible.
Camera head based on described adaptively adjusting picture, the present invention proposes a kind of method of adaptively adjusting picture simultaneously, it not only goes for independently camera head, can also be applicable to image collecting device or video acquisition device that existing digital equipment or electronic system self are had.Make the user utilize these image collecting devices or video acquisition device to make a video recording or during video calling, the image that is taken can be realized the effect of adaptively adjusting picture when real-time playback
Please refer to Fig. 3, it shows a kind of method flow diagram of method 300 of adaptively adjusting picture.The method 300 of described adaptively adjusting picture may further comprise the steps: step 302, images acquired or video flowing; Step 304 is carried out the detection of people's face to determine the people's face direction in the described image to image or the image of being gathered in the video flowing; With step 306, adjust the picture display direction of described video flowing according to described people's face direction.
Because when adopting the method 300 of described adaptively adjusting picture, need to gather facial image, so adopt the digital equipment or the electronic system of the method 300 of described adaptively adjusting picture all should include image or video acquisition device, such as: sensitization CCD, camera.For image collecting device, described step 302 needs are gathered a frame realtime graphic and are got final product; For video acquisition device, then need in the video flowing of gathering in real time, choose a two field picture as image to be detected.In addition, owing to might not comprise the face characteristic zone in the frame image to be detected, so when choosing described image to be detected, can repeatedly choose among some embodiment according to predetermined space, choose a two field picture as image to be detected such as per 20 frames in the video flowing of instantaneous acquiring, up to detecting the face characteristic zone.
Detect and need that in step 304 image of gathering in the step 302 to be detected is carried out people's face.When real-time is had relatively high expectations, should choose the fast face detection algorithm as far as possible, the fast face detection algorithm is to the high algorithm of accuracy of detection at folk prescription.So utilizing folk prescription to method for detecting human face described image to be detected to be carried out people's face usually detects, when detecting people's face, determine the direction of people's face in described image, when not detecting people's face, after described image carried out predetermined angular rotation, continue to utilize described folk prescription described image to be carried out people's face and detect, till detecting the face characteristic zone or to a two field picture anglec of rotation, reach 360 degree to determine the direction of people's face in described image to method for detecting human face.Concrete which kind of people's face detection algorithm of employing or technology are unimportant in described step 304, but should take all factors into consideration the amount of calculation and the demand of applied environment, improve the speed that people's face detects as much as possible.Such as can only adopt positive and negative twice people's face to detect for rig camera; And can adopt cubic up and down to people's face detection or the like for panel computer.When detecting the face characteristic zone, determine the direction of current direction behaviour face in described image.
At last when step 304 successfully detects the face characteristic zone, step 306 is adjusted the picture display direction of described video flowing according to the direction of people's face in described image, detecting the face characteristic zone when standing upside down installation such as rig camera stands upside down, then also picture is turned upside down when the display monitoring picture, the user seems to be exactly upright image like this.
Please refer to Fig. 4, it shows the rig camera workflow diagram in one embodiment that adopts the adaptively adjusting picture method.Because the computing capability installation limited and common rig camera of rig camera has only positive and negative dual mode, so adopted the scheme of frame image Rotate 180 to be detected degree being carried out twice people's face detection at most, so not only reduced amount of calculation but also obtained good effect.When the common in addition method with described adaptively adjusting picture is applied in rig camera start just or initiation parameter, at this moment all there is the staff to install or debug usually, is easy to collect instant facial image in the face of rig camera.The workflow 400 of described rig camera comprises:
Please refer to Fig. 5, it shows the panel computer workflow diagram in one embodiment that adopts the adaptively adjusting picture method.The hand-held of described panel computer can turn 90 degrees and be rotated counterclockwise four kinds of 90 degree for upright, handstand, dextrorotation, and because the panel computer computing capability is more powerful, carry out the scheme that four people's faces detect (can certainly counterclockwise) at most so described panel computer has adopted to frame image to be detected each dextrorotation to turn 90 degrees, so not only reduced amount of calculation but also obtained good effect.When the camera that usually operating time of the method for described adaptively adjusting picture is arranged on described panel computer is in addition opened, at this moment the user is all arranged usually, be easy to collect facial image in Video chat or shooting.No matter make which kind of mode of user hand panel computer, the other side or the user that chat with the user can both obtain upright video.The workflow 500 of described panel computer comprises:
Above-mentioned explanation has fully disclosed the specific embodiment of the present invention.It is pointed out that and be familiar with the scope that any change that the person skilled in art does the specific embodiment of the present invention does not all break away from claims of the present invention.Correspondingly, the scope of claim of the present invention also is not limited only to described embodiment.
Claims (11)
1. the camera head of an adaptively adjusting picture is characterized in that, it comprises:
Image capture module, images acquired or video flowing;
People's face detection module carries out people's face to the image of image capture module collection or video flowing and detects to determine the people's face direction in described image or the video flowing; With
The picture adjusting module is adjusted the picture display direction of described image or video flowing according to described people's face direction.
2. the camera head of adaptively adjusting picture according to claim 1 is characterized in that, described people's face detection module comprises upright people's face detecting unit and image rotary unit,
Described upright people's face detecting unit detects whether comprise the face characteristic zone in the image in described image or the video flowing;
Described image rotary unit when described upright people's face detecting unit does not detect face characteristic when zone, continues to utilize described upright people's face detecting unit to carry out people's face after according to the predetermined angular rotation image in described image or the video flowing and detects.
3. the camera head of adaptively adjusting picture according to claim 1 is characterized in that, described picture adjusting module adjusts the picture display direction of described video flowing so that the people's face direction in the image in adjusted described image or the video flowing is upright.
4. the camera head of adaptively adjusting picture according to claim 2, it is characterized in that, before not to the rotation of the image in described image or the video flowing, if described upright people's face detecting unit detects the face characteristic zone, think that then the people's face direction in the image in described image or the video flowing is upright, described picture adjusting module keeps the picture display direction of described video flowing constant.
5. the camera head of adaptively adjusting picture according to claim 2, it is characterized in that, described predetermined angular 180 degree, after to the described image rotation in the video flowing, if described upright people's face detecting unit detects the face characteristic zone, then think people's face direction in the image in described image or the video flowing for standing upside down, described picture adjusting module turns upside down the every two field picture mirror image in the video flowing or the Rotate 180 degree.
6. the camera head of adaptively adjusting picture according to claim 1, it is characterized in that, described people's face direction comprises upright and stands upside down, if people's face direction that people's face detection module is determined is upright, described picture adjusting module keeps the picture display direction of described image or video flowing constant, if people's face direction that people's face detection module is determined is for standing upside down, described picture adjusting module turns upside down the every two field picture mirror image in described image or the video flowing or the Rotate 180 degree.
7. the method for an adaptively adjusting picture is characterized in that, it comprises:
Images acquired or video flowing;
Image or the image of gathering in the video flowing carried out the detection of people's face to determine the people's face direction in described image or the video flowing; With
Adjust the picture display direction of described image or video flowing according to described people's face direction.
8. the method for adaptively adjusting picture according to claim 7, it is characterized in that, describedly the image gathered or the image in the video flowing are carried out people's face detect: utilize folk prescription the image gathered or the image in the video flowing to be carried out people's face and detect to method for detecting human face to determine that the people's face direction in the described image comprises, determine that when detecting people's face described people's face direction is upright direction, when not detecting people's face, after the image of described collection or the image in the video flowing carried out the predetermined angular rotation, continue to utilize described folk prescription described image to be carried out people's face and detect, till detecting the face characteristic zone or to a two field picture anglec of rotation, reach 360 degree to determine people's face direction to method for detecting human face.
9. the method for adaptively adjusting picture according to claim 7 is characterized in that, when described image not being rotated, if detect people's face, then the picture display direction of described image or video flowing is not adjusted.
10. the method for adaptively adjusting picture according to claim 8 is characterized in that, the predetermined angular that the image gathered or the image in the video flowing are once rotated is clockwise or counterclockwise 90 degree; Behind image of gathering or the rotation of the image in video flowing predetermined angular and when detecting people's face, then the picture to described video flowing also rotates predetermined angular so that the people's face direction in the adjusted image is a forward.
11. the method for adaptively adjusting picture according to claim 7, it is characterized in that, when the image in the video flowing is carried out the detection of people's face with the people's face direction in definite described image, one two field picture is carried out each dextrorotation to be turn 90 degrees and carries out four people's faces at most and detect, introduce simultaneously a two field picture is carried out the detection counting n of people's face when detecting, described n is greater than 0 and smaller or equal to 4 integer; When a two field picture carried out the detection of people's face for the first time, described n was initialized as 1; When a two field picture clockwise or carry out people's face after being rotated counterclockwise 90 degree once more when detecting, described n increases by 1; Then when in image, detecting people's face, clockwise or be rotated counterclockwise (n-1) * 90 with the every two field picture in the video flowing.
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