Video Face Recognition Based on Non-Binding Image Referring Set Matching
Xie Lipin · Video Engineering · 2014
For the case that system can not extract effective feature of the face images in Video Face Recognition( VFR),Non-Binding Image Referring Set Matching( NB-LRSM) is proposed by which is in advance between the two image-sets constructing multiple offline local models. It matches with the reference set rather than considering all pairs of cases which used for calculating similarity. This challenge is transformed into a quadratic programming issue,which contains the local neighboring relations and consistency of the local geometry. The effectiveness of the proposed method is validated in Honda,MoBo and YouTube video face databases. Experiments results indicate that proposed method has better recognition accuracy comparing with several existing video face recognition approaches.