13 January 2012 Applying local Gabor ternary pattern for video-based illumination variable face recognition
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huafeng Wang, Huafeng Wang, Yong Han, Yong Han, Zhaoxiang Zhang, 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); doi: 10.1117/12.920097; https://doi.org/10.1117/12.920097
PROCEEDINGS
6 PAGES


SHARE
RELATED CONTENT


Back to Top