Sparse graphical representation based discriminant analysis for heterogeneous face recognition

•We propose an adaptive sparse graphical representation scheme to represent heterogeneous face images. By skipping the K nearest neighbor selection process, adaptive sparse vectors can be generated from the Markov networks model, which is evaluated to be much more effective for heterogeneous face re...

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Bibliographic Details
Published inSignal processing Vol. 156; pp. 46 - 61
Main Authors Peng, Chunlei, Gao, Xinbo, Wang, Nannan, Li, Jie
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.03.2019
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