作者: Lingfeng Zhang , Pengfei Dou , Shishir K. Shah , Ioannis A. Kakadiaris
关键词:
摘要: In this paper, we propose a patch based face recognition framework. First, image is iteratively divided into multi-level patches and assigned hierarchical labels. Second, local classifiers are built to learn the prediction of each patch. Third, relationships defined between used obtain global We develop three ways prediction: majority voting, l 1 -regularized weighting, decision rule. Last, predictions different levels combined as final prediction. Experimental results on tasks demonstrate effectiveness our method.