DocumentCode
1975959
Title
Face detection on partial and holistic LBP features
Author
Pu, Xiaorong ; Wang, Yongtao
Author_Institution
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2011
fDate
16-18 Sept. 2011
Firstpage
1071
Lastpage
1074
Abstract
Face detection in low resolution images is a huge challenge in computer vision due to its insufficient information. In this paper, an improved LBP for low resolution facial image feature extraction is proposed which considers both partial and holistic facial features. Extensive experiments show that the proposed method has an encouraging performance with good robustness and strong practicality in face detection.
Keywords
face recognition; feature extraction; image resolution; computer vision; face detection; holistic LBP features; holistic facial features; low resolution facial image feature extraction; low resolution images; partial LBP features; partial facial features; Conferences; Educational institutions; Face detection; Feature extraction; Pattern recognition; Support vector machines; Local Binary Patterns; Support vector machine; face detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8162-0
Type
conf
DOI
10.1109/ICECENG.2011.6057194
Filename
6057194
Link To Document