Abstract：A dualchannel extension of nonlinear dimensionality reduction algorithm is proposed according to the characteristic of stereo video sequence. In order to construct a mapping between high and low dimensional spaces, kneighbor kernel function method is presented, which solves the problem of lack of reconstruction algorithm and provides a new solution to video compression. Experimental results on several typical sequences show the advantages of the proposed approaches.
李华，都思丹，鲁凡，高敦堂. 基于非线性降维算法的视频序列特征提取及图像重建[J]. 模式识别与人工智能, 2006, 19(5): 645-651.
LI Hua, DU SiDan, LU Fan, GAO DunTang. Feature Extraction and Image Reconstruction of Video Sequence Based on Nonlinear Dimensionality Reduction Algorithms. , 2006, 19(5): 645-651.
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2006, Vol. 19 
