Comparative Analysis on Performance of Pixel-Based Face Recognition Methods by Considering Various Facial Poses

Recently, according to expansion of face recognition application fields, study on face recognition is actively conducted. However, high performance algorithm sometimes cannot be applied because of environmental reasons such as pose variation or lighting condition at outdoor CCTV. Also, low-resolution face image captured by CCTV camera cannot be used for appearance based high-performance method. Therefore, we consider pixel based face recognition methods as CCTV applications. To apply the methods, various facial poses and three kinds of face recognition methods are comparatively analyzed in this paper. At experimental results, linear discriminant analysis showed the best performance at the matching method considering various facial poses.

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