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Proceedings Paper

Applying local Gabor ternary pattern for video-based illumination variable face recognition
Author(s): Huafeng Wang; Yong Han; Zhaoxiang Zhang
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Paper Abstract

The illumination variation problem is one of the well-known problems in face recognition in uncontrolled environment. Due to that both Gabor feature and LTP(local ternary pattern) are testified to be robust to illumination variations, we proposed a new approach which achieved illumination variable face recognition by combining Gabor filters with LTP operator. The experimental results compared with the published results on Yale-B and CMU PIE face database of changing illumination verify the validity of the proposed method.

Paper Details

Date Published: 13 January 2012
PDF: 6 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83490W (13 January 2012); doi: 10.1117/12.920097
Show Author Affiliations
Huafeng Wang, Beihang Univ. (China)
Yong Han, Beihang Univ. (China)
Zhaoxiang Zhang, Beihang Univ. (China)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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