Open-set face recognition across look-alike faces in real-world scenarios

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• 作者：Ali Moeini^a ; ^{ali.moeini1989@gmail.com} ; ^{ali.moeini.ir@ieee.org} ; Karim Faez^a ; Hossein Moeini^b ; Armon Matthew Safai^c
• 关键词：Open-set face recognition ; Look-alike face ; Facial plastic surgery ; Sparse representation ; Collaborative representation ; Real-world scenarios
• 刊名：Image and Vision Computing
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：57
• 期：Complete
• 页码：1-14
• 全文大小：2990 K
• 卷排序：57

文摘

This paper uses 3D reconstructed models to recognize look-alike faces. A feature is extracted from both facial reconstructed depth and texture images. This paper proposes likeness dictionary learning. Three open-set classification methods are proposed for real-world face recognition.