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
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;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057194
