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Face detection based on extended Haar-like features

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2 Author(s)
Chang Chai ; Int. Sch. of Software, Wuhan Univ., Wuhan, China ; Yulin Wang

This paper presents a rapid solution for face detection. It is based on AdaBoost (Adaptive Boosting) learning algorithm and abstracts faces' Haar-like features to train a classifier. At last through the OpenCV, develop a program that can detect people's face from the video of PC camera.

Published in:

Mechanical and Electronics Engineering (ICMEE), 2010 2nd International Conference on  (Volume:1 )

Date of Conference:

1-3 Aug. 2010