Title :
Face Recognition across Poses Utilizing Feature Transformation
Author :
Zhang, Hongzhou ; Li, Yongping ; Wang, Lin ; Wang, Chengbo
Author_Institution :
Shanghai Inst. of Appl. Phys., Chinese Acad. of Sci., Shanghai
Abstract :
Face recognition is an advanced identification solution which can meet the crying needs in security areas. Pose effect is a big challenge for robust applications of this technology. We proposed a feature transformation approach to cope with the head rotation roughly within half profile view. Comparing with algorithms based on computer vision technology, the proposed feature transformation method is not dependent on heavy computation and easily to apply in live conditions. Popular feature extractions, least square (LS) and total least square (TLS) solution in calculating as well as some properties of transformation were explored on the FERET database
Keywords :
computer vision; face recognition; feature extraction; computer vision; face recognition; feature extraction; feature transformation; total least square solution; Active appearance model; Application software; Computer vision; Face detection; Face recognition; Feature extraction; Head; Image generation; Least squares methods; Solid modeling; face recognition; feature transformation; pose;
Conference_Titel :
Computational Intelligence for Homeland Security and Personal Safety, Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Alexandria, VA
Print_ISBN :
1-4244-0744-3
Electronic_ISBN :
1-4244-0745-1
DOI :
10.1109/CIHSPS.2006.313297
