Title :
Photometric stereo with general, unknown lighting
Author :
Basri, Ronen ; Jacobs, David
Author_Institution :
Dept. of Comput. Sci., Weizmann Inst. of Sci., Rehovot, Israel
Abstract :
Work on photometric stereo has shown how to recover the shape and reflectance properties of an object using multiple images taken with a fixed viewpoint and variable lighting conditions. This work has primarily relied on the presence of a single point source of light in each image. The authors show how to perform photometric stereo, assuming that all lights in a scene are isotropic and distant from the object but otherwise unconstrained. Lighting in each image may be an unknown and arbitrary combination of diffuse, point and extended sources. Our work is based on recent results showing that for Lambertian objects, general lighting conditions can be represented using low order spherical harmonics. Using this representation, we can recover shape by performing a simple optimization in a low-dimensional space. We also analyze the shape ambiguities that arise in such a representation.
Keywords :
image recognition; image representation; lighting; photometry; stereo image processing; Lambertian objects; arbitrary combination; extended sources; fixed viewpoint; general lighting conditions; general unknown lighting; low order spherical harmonics; low-dimensional space; multiple images; photometric stereo; reflectance properties; shape ambiguities; shape properties; shape recovery; simple optimization; single point light source; variable lighting conditions; Computer science; Jacobian matrices; Laboratories; Layout; Lighting control; National electric code; Photometry; Reflectivity; Shape; Surface fitting;
Conference_Titel :
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1272-0
DOI :
10.1109/CVPR.2001.990985