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Proceedings Paper

Weakly supervised glasses removal
Author(s): Zhicheng Wang; Yisu Zhou; Lijie Wen
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Paper Abstract

Glasses removal is an important task on face recognition, in this paper, we provide a weakly supervised method to remove eyeglasses from an input face image automatically. We choose sparse coding as face reconstruction method, and optical flow to find exact shape of glasses. We combine the two processes iteratively to remove glasses more accurately. The experimental results reveal that our method works much better than these algorithms alone, and it can remove various glasses to obtain natural looking glassless facial images.

Paper Details

Date Published: 4 March 2015
PDF: 6 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94431J (4 March 2015); doi: 10.1117/12.2178815
Show Author Affiliations
Zhicheng Wang, Tsinghua Univ. (China)
Yisu Zhou, Tsinghua Univ. (China)
Lijie Wen, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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