Pose Invariant Face Recognition Using Maximum Gabor Similarity Based on Lucas-Kanade Algorithm

Chao Cheng; Feipeng Da; Chenxing Wang; Changjin Jiang

doi:10.3788/AOS201939.0715005

Acta Optica Sinica, Volume. 39, Issue 7, 0715005(2019)

Pose Invariant Face Recognition Using Maximum Gabor Similarity Based on Lucas-Kanade Algorithm

Chao Cheng^1,2, Feipeng Da^1,2, Chenxing Wang^1,2、*, and Changjin Jiang^1,2

Author Affiliations

¹ School of Automation, Southeast University, Nanjing, Jiangsu 210096, China

² Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, Jiangsu 210096, China

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Chao Cheng, Feipeng Da, Chenxing Wang, Changjin Jiang. Pose Invariant Face Recognition Using Maximum Gabor Similarity Based on Lucas-Kanade Algorithm[J]. Acta Optica Sinica, 2019, 39(7): 0715005

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Paper Information

Category: Machine Vision

Received: Dec. 12, 2018

Accepted: Apr. 1, 2019

Published Online: Jul. 16, 2019

The Author Email: Wang Chenxing (cxwang@seu.edu.cn)

DOI:10.3788/AOS201939.0715005

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