Applying local Gabor ternary pattern for video-based illumination variable face recognition

Huafeng Wang; Yong Han; Zhaoxiang Zhang

doi:10.1117/12.920097

13 January 2012 Applying local Gabor ternary pattern for video-based illumination variable face recognition

Huafeng Wang, Yong Han, Zhaoxiang Zhang

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 83490W (2012) https://doi.org/10.1117/12.920097
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

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.

Citation Download Citation

Huafeng Wang, Yong Han, and Zhaoxiang Zhang "Applying local Gabor ternary pattern for video-based illumination variable face recognition", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83490W (13 January 2012); https://doi.org/10.1117/12.920097

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