Face Detection in Non-uniform Illumination Conditions by Using Color and Triangle-based Approach
Chiunhsiun Lin · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2006
This investigation develops an efficient face detection scheme that can detect multiple faces in color images with complex environments and non-uniform illumination conditions.The proposed scheme comprises two stages.The first stage adopts YES color and triangle-based segmentation to search potential face regions.The second stage involves face verification using a weighting mask function.The system can handle various sizes of faces, non-uniform illumination conditions, pose and changeable expression.In particular, the scheme significantly increases the execution speed of the face detection algorithm in complex backgrounds.A result of this study performs better than previous methods in terms of speed and ability to handle non-uniform illumination conditions.