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Exploring Invariant Hybrid Color Image Features For Face Recognition Under Illumination Variation, Jayesh Mohan
Exploring Invariant Hybrid Color Image Features For Face Recognition Under Illumination Variation, Jayesh Mohan
LSU Master's Theses
In this thesis, a novel analysis framework is presented in order to automate testing response of an image-feature descriptor algorithm for face recognition under different illumination conditions and white balance calibration over intra- and inter-color space. The experimental results on the OPFD database show that our analysis framework finds the least sensitive channel of a color space for recognizing a face under unknown illumination, unknown white balance, and the both unknown illumination and white balance conditions. The results also show the combination of channels in a color space which are best suited face recognition.