Tan P, Zickler T. A Projective Framework for Radiometric Image Analysis. In: Computer Vision and Pattern Recognition (CVPR). Miami, FL; 2009.
Date Presented:June, 19-26
Abstract:Different materials reflect light in different ways, and reflectance interacts with shape, lighting, and viewpoint to determine an object's image. Common materials exhibit diverse reflectance effects, and this is a significant source of difficulty for radiometric image analysis. One strategy for dealing with this diversity is to build computational tools that exploit reflectance symmetries, such as reciprocity and isotropy, that are exhibited by broad classes of materials. In this paper, we advocate the real projective plane as a tool for representing and exploiting these symmetries. In this approach, each point in the plane represents a surface normal that is visible from a fixed viewpoint, and reflectance symmetries are analyzed in terms of the geometric structures that they induce. We provide an overview of these structures and explore applications to both calibrated and un-calibrated photometric stereo.
Related projects: http://gvi.seas.harvard.edu/content/lightweight-appearance-capture