Object arrangement estimation using color edge profile

We propose a method for classifying image edges caused by different physical phenomena, i.e. reflectance change, shadow, occlusion, etc., by using color information around the edge. We assumed several simple models for object spatial arrangements. For each of them, typical locus of RGB values along the normal direction of each edge segment is modeled. Each locus is parametrized by several features. In the classification of actual edges, the most plausible phenomenon is selected by checking the consistency between the parameters from an actual edge profile and those from each model. For the improvement of accuracy, Dempster-Shafer probability model is employed to deal with the above parameters that are often weak and uncertain. Experiments showed good performances