DocumentCode
1662206
Title
Face detection in mobile phones using Co-occurrence of adjacent Local Binary Patterns
Author
Wang, Jiacheng ; Dohyoung Lee ; Plataniotis, Konstantinos N.
Author_Institution
Edward S. Rogers Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
fYear
2013
Firstpage
2410
Lastpage
2414
Abstract
This paper investigates a novel combination of Co-occurrence of adjacent Local Binary Patterns histogram and Local Binary Patterns feature extraction methods for face detection in mobile phone applications. In particular, Co-occurrence of adjacent Local Binary Patterns histogram feature extraction provides exceptionally high discriminative power in face/non-face classification and hence is used to ensure the high accuracy of the proposed face detector. Local Binary Patterns feature extraction has low computation complexity and is thus used to reduce the overall processing speed. In the conducted face detection experiments, the proposed face detector yields comparable or better performance as well as faster computation speed than the existing best methods.
Keywords
computational complexity; face recognition; feature extraction; image classification; mobile handsets; adjacent local binary patterns histogram; computation complexity; computation speed; face detection; face-nonface classification; local binary patterns feature extraction methods; mobile phone applications; Detectors; Face; Face detection; Feature extraction; Histograms; Lighting; Mobile handsets; Feature extraction; Frontal face detection; Local Binary Patterns; Mobile Phone;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2013.6638087
Filename
6638087
Link To Document