Using HVS color space and neural network for face detection with various illuminations

Authors:
Chiunhsiun Lin;Ching-Hung Su
Affiliations:
National Taipei University, Taipei, Taiwan;The Department of Electronic Engineering, Lunghwa University of Science and Technology, Taoyuan County, Taiwan
Venue:
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
Year:
2007

Citing 5
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Abstract

We introduce an efficient face detection system that can detect multiple faces in color images with various illuminations. The proposed system consists of two parts. The first part utilizes color and triangle-based segmentation to search the potential face regions. The second part performs face verification task by a multilayer neural network. The system can conquer distinct size, changed lighting condition, various pose, orientation, facial hair, and partial occlusion, presence of glasses, and diverse hair styles at the same time. Moreover, the system significantly speeds up the execution time of face detection with complex backgrounds. The experimental results reveal that the proposed method is better than traditional methods in terms of altered circumstance and efficiency.