Multiscale facial structure representation for face recognition under varying illumination
作者： Taiping Zhang , Bin Fang , Yuan Yuan , Yuan Yan Tang , Zhaowei Shang
DOI: 10.1016/J.PATCOG.2008.03.017
关键词:
摘要: Facial structure of face image under lighting lies in multiscale space. In order to detect and eliminate illumination effect, a wavelet-based recognition method is proposed this paper. work, the effect illuminations effectively reduced by denoising techniques, meanwhile facial generated. Among others, has following advantages: (1) it can be directly applied single image, without any prior information 3D shape or light sources, nor many training samples; (2) due nature wavelet transform, better edge-preserving ability low frequency fields; (3) parameter selection process computationally feasible fast. Experiments are carried out upon Yale B CMU PIE databases, results demonstrate that achieves satisfactory rates varying conditions.
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