Color segmentation and color correction using lighting and white balance shifts

Abstract

A method was developed to segment an image foreground and background based on color content. This work presents an alter-native to the standard blue-screen technique (weather man method) by exploiting the color shifts of light sources and ltering each camera lens and correcting white balances for each camera. we compressed the col-ors of the scene background into a chromaticity subspace to make the foreground-background segmentation easier to perform. The segmenta-tion is singular decomposition (SVD) based.