Color Constancy by Deep Learning

著者: Zhongyu Lou, Theo Gevers, Ninghang Hu, Marcel P. Lucassen - Procedings of the British Machine Vision Conference 2015 2015 被引用: 99

Computational color constancy aims to estimate the color of the light source. The performance of many vision tasks, such as object detection and scene understanding, may benefit from color constancy by using the corrected object colors. Since traditional color constancy methods are based on specific assumptions, none of those methods can be used as a universal predictor. Further, shallow learning schemes are used for trainingbased color constancy, possibly suffering from limited learning capabilities.