关键词: 双树-复小波变换, 正交邻域保持投射, 人脸识别

Abstract:

In order to efficiently accomplish the face recognition using dual-tree complex-wavelet transform (DTCWT), a method composed of DT-CWT and orthogonal neighborhood preserving projections (ONPP) is proposed. In this method , a feature vector with desirable characteristics including spatial locality , frequency and orientation selectivity is obtained by DT-CWT. Then , the dimension of the vector is linearly reduced by ONPP, thus effectively preserving the intrinsic neighborhood geometry of the vector and the global geometry. So , the recognition can be easily performed. Experimental results demonstrate that the proposed ONPP based on DT -CWT can accomplish the face recognition well with the feature dimension being effectively reduced.

Key words: dual-tree complex-wavelet transform, orthogonal neighborhood preserving projection, face recognition