Illumination normalization for face recognition and uneven background correction using total variation based image models

• Published in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 2; pp. 532 - 539 vol. 2
• Main Authors: Chen, T., Yin, W., Zhou, X.S., Comaniciu, D., Huang, T.S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Computer vision; Distortion; Face recognition; Image databases; Image recognition; Light sources; Lighting; Microscopy; Surface texture; Training data

We present a new algorithm for illumination normalization and uneven background correction in images, utilizing the recently proposed TV+L/sup 1/ model: minimizing the total variation of the output cartoon while subject to an L/sup 1/-norm fidelity term. We give intuitive proofs of its main advantag...