摘要
Inthispaper,weproposeafacerecognitionapproach-StructedSparseRepresentation-basedclassificationwhenthemeasurementofthetestsampleislessthanthenumbertrainingsamplesofeachsubject.Whenthisconditionisnotsatisfied,weexploitNearestSubspaceapproachtoclassifythetestsample.Inordertoadaptallthecases,wecombinethetwoapproachestoanadaptiveclassificationmethod-Adaptiveapproach.TheadaptiveapproachyieldsgreaterrecognitionaccuracythantheSRCapproachandCRC_RLSapproachwithlowsamplerateontheExtendYaleBdataset.Anditismoreefficientthanothertwoapproaches.
出版日期
2014年03月13日(中国期刊网平台首次上网日期,不代表论文的发表时间)