Color Constancy using 3D Scene Geometry

The aim of color constancy is to remove the effect of the color of the light source. As color constancy is inherently an ill-posed problem, most of the existing color constancy algorithms are based on specific imaging assumptions such as the grey-world and white patch assumptions. In this paper, 3D geometry models are used to determine which color constancy method to use for the different geo- metrical regions found in images. To this end, images are first classified into stages (rough 3D geometry models). Ac- cording to the stage models, images are divided into differ- ent regions using hard and soft segmentation. After that, the best color constancy algorithm is selected for each geome- try segment. As a result, light source estimation is tuned to the global scene geometry. Our algorithm opens the pos- sibility to estimate the remote scene illumination color, by distinguishing nearby light source from distant illuminants. Experiments on large scale image datasets show...

• Type: Conference
• Year: 2009
• Where: ICCV
• Authors: Rui Lu, Arjan Gijsenij, Theo Gevers
• Keywords: 3D Scene Geometry, Color Constancy, Computer Vision, ICCV 2009