Review of Face Recognition on Small Sample Size Problem
Huang Hong-b · IEEE Software · 2014
Small Sample Size Problem is a general problem in face recognition. Most methods of face recognition will encounter difficulties when the number of samples is much smaller than the dimension of face data. This paper analyzed the the origin of the problem, and then defferent solutions were presented includeing virtual sample expansion,data reduction and algorithm optimization. A brief evaluation of different methods was given. Future directions of solving the problem were prospected.