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Applying local Gabor ternary pattern for video-based illumination variable face recognition
Huafeng Wang; Yong Han; Zhaoxiang Zhang
2011-07-27
Conference NameFourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Source PublicationICMV 2011
Conference Date27-29 July 2011
Conference PlaceSingapore, Singapore
AbstractThe 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.
KeywordFacial Recognition Systems Video Databases
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13294
Collection类脑智能研究中心
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
GB/T 7714
Huafeng Wang,Yong Han,Zhaoxiang Zhang. Applying local Gabor ternary pattern for video-based illumination variable face recognition[C],2011.
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