Toward a Stratification of Helmholtz Stereopsis

Helmholtz stereopsis has been previously introduced as a surface reconstruction technique that does not assume a model of surface reflectance. This technique relies on the use of multiple cameras and light sources, and it has been shown to be effective when the camera and source positions are known. Here, we take a stratified look at uncalibrated Helmholtz stereopsis. We derive a new photometric matching constraint that can be used to establish correspondence without any knowledge of the cameras and sources (except that they are co-located), and we determine conditions under which we can obtain affine and metric reconstructions. An implementation and experimental results are presented.

• Type: Conference
• Year: 2003
• Where: CVPR
• Authors: Todd Zickler, Peter N. Belhumeur, David J. Kriegman
• Keywords: Computer Vision, CVPR 2003, Multiple Cameras, Photometric Matching Constraint, Surface Reconstruction Technique, Surface Reflectance, Uncalibrated Helmholtz Stereopsis