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INTRODUCTION A common method for extracting depth in-formation from intensity images is based on theprinciples of stereovision. In this method, a pair ofimages is obtained using two cameras displacedfrom each other by a known distance. After deter-mining the stereo correspondence, the distance ofvarious points is computed using triangulation(Jeon et al., 2001). Stereo correspondence is theproblem of finding corresponding points in two ormore images of the same scene, usually assumin… 相似文献
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Robust video foreground segmentation and face recognition 总被引：1，自引：0，他引：1
管业鹏 《上海大学学报(英文版)》2009,13(4):311-315
Face recognition provides a natural visual interface for human computer interaction (HCI) applications. The process of face
recognition, however, is inhibited by variations in the appearance of face images caused by changes in lighting, expression,
viewpoint, aging and introduction of occlusion. Although various algorithms have been presented for face recognition, face
recognition is still a very challenging topic. A novel approach of real time face recognition for HCI is proposed in the paper.
In view of the limits of the popular approaches to foreground segmentation, wavelet multi-scale transform based background
subtraction is developed to extract foreground objects. The optimal selection of the threshold is automatically determined,
which does not require any complex supervised training or manual experimental calibration. A robust real time face recognition
algorithm is presented, which combines the projection matrixes without iteration and kernel Fisher discriminant analysis (KFDA)
to overcome some difficulties existing in the real face recognition. Superior performance of the proposed algorithm is demonstrated
by comparing with other algorithms through experiments. The proposed algorithm can also be applied to the video image sequences
of natural HCI.
Project supported by the National Natural Science Foundation of China (Grant No.60872117), and the Leading Academic Discipline
Project of Shanghai Municipal Education Commission (Grant No.J50104) 相似文献
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Unique correct correspondence cannot be obtained only by use of gray correlation technique,which describes gray similar degree of feature points between the left and right images too unilaterally.The gray correlation technique is adopted to extract gray correlation peaks as a coarse matching set called multi-peak set.The disparity gradient limited constraint is utilized to optimize the multi-peak set.Unique match will be obtained by calculating the correlation of hybrid matrices consisting of reference differences and disparities from the multi-peak set.Two of the known corresponding points in the left and right images,respectively,are set as a pair of reference points to determine search direction and search scope at first.After the unique correspondence is obtained by calculating the correlation of the hybrid matrices from the multi-peak set,the obtained match is regarded as a new reference point till all feature points in the left(or right)image have been processed.Experimental results proved that the proposed algorithm was feasible and accurate. 相似文献
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