Physics-based Edge Evaluation for Improved Color Constancy

Edge-based color constancy makes use of image derivatives to estimate the illuminant. However, different edge types exist in real-world images such as shadow, geometry, material and highlight edges. These different edge types may have a distinctive inf luence on the performance of the illuminant estimation. Therefore, in this paper, an extensive analysis is provided of different edge types on the performance of edge-based color constancy methods. First, an edge-based taxonomy is presented classifying edge types based on their ref lectance properties (e.g. material, shadow-geometry and highlights). Then, a performance evaluation of edge-based color constancy is provided using these different edge types. From this performance evaluation, it is derived that certain edge types are more valuable than material edges for the estimation of the illuminant. To this end, the weighted Grey-Edge algorithm is proposed in which certain valuable edge types are more emphasized for the ...

• Type: Conference
• Year: 2009
• Where: CVPR
• Authors: Arjan Gijsenij (University of Amsterdam), Theo Gevers (University of Amsterdam), Joost Van de Weijer (Computer Vision Center, Barcelona)
• Keywords: Color Constancy, Computer Vision, CVPR 2009