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ACCV
2009
Springer

Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles

9 years 8 months ago
Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles
Face recognition using image-set or video sequence as input tends to be more robust since image-set or video sequence provides much more information than single snapshot about the variation in the appearance of the target subject. Usually the distribution of such image-set approximately resides in a low dimensional linear subspace and the distance between image-set pairs can be defined based on the concept of principal angles between the corresponding subspace bases. Inspired by the work of[4, 14], this paper presents a robust framework for image-set based face recognition using boosted global and local principal angles. The original multi-class classification problem is firstly transformed into a binary classification task where the positive class is the principal angle based intra-class subspace “difference” and the negative one is the principal angle based inter-class subspace “difference”. The principal angles are computed not only globally for the whole pattern space b...
Xi Li, Kazuhiro Fukui, Nanning Zheng
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where ACCV
Authors Xi Li, Kazuhiro Fukui, Nanning Zheng
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