Abstract
From the recent diversity of face recognition applications, it can be concluded that studies on face recognition are being actively conducted. However, high-performance algorithms sometimes cannot be adopted because of environmental reasons such as pose variation of targets or lighting conditions at the outdoor CCTV. Further, a low-resolution CCTV image cannot be used for an appearance-based high-performance method. Therefore, we consider pixel-based face recognition methods as CCTV applications. Before applying the methods, a Retinex-based illumination normalization method is used. The methods are applied with various facial poses, and three kinds of face recognition methods are comparatively analyzed in this paper. The experimental results showed that linear discriminant analysis exhibited the best performance as the matching method taking into consideration various facial poses.
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