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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638087