A Research And Design Of Embedded Identification System Based On Stereoscopic Display Technology

Face recognition is one of the most active and challenging area of all authentication technologies based on biological characteristics,which will have great potential for development. It extracts valuable information from different face pictures by computer for identification.This technology is widely applied in information security,video surveillance,target tracking and other areas.But limited by camera and photographic technology,the current face recognition methods have focused on two-dimensional images.Essentially,Human face is three-dimensional object. When changing the 3D objects to 2D pictures,a lot of useful ID information is lost.So there are unavoidable defects in 2D AFR,such as the distortion for different expressions,the diversity of human face patterns(e.g.beard,hair,glasses,makeup,etc.)and the uncertainty for complex environment(e.g.light intensity and direction of light source,etc.).To solve this problem,an effective method is using 3D AFR algorithm instead of 2D AFR. The three-dimensional model contains more information than two-dimensional facial image.3D data gives an accurate reflection of the objects,such as shape and size,and it is not sensitive to the posture or illumination.The most important part in 3D recognition is to establish the three-dimensional model,and how to get the shape model and accurate texture projection are crucial.Currently there is no easy way to obtain the three-dimensional information accurately in the field of facial reconstruction.Overall,more attention should be paid to how to get three-dimensional information more simply and efficiently in 3D technology research.In this paper we try to realize the face recognition using 3D data which are from the video sequence obtained by two cameras.We develop a novel way to get,depict and store 3D human face information,generate both color maps and depth maps of the face.Face region is tracked, based on this region outline and depth of feature points is extracted to form the topological structure.We propose novel 2D+3D method to get the facial feature points,and rebuild three-dimensional face model by two 2D pictures from binocular cameras.Through translation and rotation of the three-dimensional model,we can get two-dimensional face picture of all attitude by the projection matrix.That means the direction of the face can be adjusted and the influence of the position can be weakened,its projection will be closer to the prototype in face database.Finally an effective high-precision matching algorithm is given to complete recognition.With full-scale information,FAR(False Accept Rate)and FRR(False Reject Rate)have decreased a lot.Meanwhile,for the three-dimensional model has nothing to do with illumination and posture,the system can reflect the basic characteristics of human face correctly,the 3D AFR algorithm this paper post is stable and robust.The research based on three-dimensional face model in this article can be a very good solution to bottlenecks existing in current AFR field.This paper is one of the main contents of the key scientific and technological project of Shanghai in 2007—"Nakedness-Eye Stereoscopic Display Based on Single Chip DMD"under the project grant number 075115002.It's also supported by outstanding PH.D educating Fund of East China Normal University under the grant number 20080050.We start from the key issues of 3D face recognition system,to play emphasis on the binocular vision principle,face detection and tracking,the point matching in 3D image,face features location,3D face representation,the robust human face classifiers and the hardware design for whole system and so on.This thesis's innovative points include:1.We analyze the principle of binocular 3D measurement system,the relationship of the objects' depth and disparity is researched.Then we propose a method to extract 3D facial information in stereoscopic image pair and extend to the topic about accuracy.2.A method about related coefficient,Euclidean distance and ICP was given to resolve the difficulty in stereo matching of two binocular face imge pair.3.We propose the 3D matching algorithm based on human face structure.ICP and Hausdorff distance are used,along with improved PCA,LDA,Gabor and other classical algorithm in 2D face recognition.4.We propose the realization in both hardware and software design.The complete system includes power supply,memory,processors,controllers,communication interface, interactive interface and EMC analysis.The flowchart and some codes are also given here.