Shape, Illumination, and Reflectance from Shading

A fundamental problem in computer vision is that of inferring the intrinsic, 3D structure of the world from flat, 2D images of that world. Traditional methods for recovering scene properties such as shape, reflectance, or illumination rely on multiple observations of the same scene to overconstrain the problem. Recovering these same properties from a single image seems almost impossible in comparison-there are an infinite number of shapes, paint, and lights that exactly reproduce a single image. However, certain explanations are more likely than others: surfaces tend to be smooth, paint tends to be uniform, and illumination tends to be natural. We therefore pose this problem as one of statistical inference,…

• NS
  National Science Foundation

  Award: N00014-10-10933
• MU
  Multidisciplinary University Research Initiative

  Award: N00014-10-10933
• OO
  Office of Naval Research

  Award: N00014-10-10933