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Pose insensitive Face Recognition Using Feature Transformation


Hongzhou Zhang, Yongping Li, Lin Wang, Chengbo Wang


Vol. 7  No. 2  pp. 89-95


Face recognition has diverse applications especially as an identification solution which can meet the crying needs in security areas. Pose problem is a big challenge applying this technology under real world conditions. Appearance based approach was proposed. Face recognition was implemented by reconstructing frontal view features using linear transformation. Experiments on popular FERET database proved that the proposed method can cope with the head rotation roughly within half profile view. Compared with algorithms model based approaches, feature transformation method is not dependent on heavy computation and has merit of easy implementing in live conditions. Popular feature extractions, least square (LS) and total least square (TLS) solution in calculating were compared as well as..


face recognition, pose, and feature transformation.