Title :
Binocular Helmholtz stereopsis
Author :
Zickler, Todd E. ; Ho, Jeffrey ; Kriegman, David J. ; Ponc, Jean ; Belhumeur, Peter N.
Author_Institution :
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Abstract :
Helmholtz stereopsis has been introduced recently as a surface reconstruction technique that does not assume a model of surface reflectance. In the reported formulation, correspondence was established using a rank constraint, necessitating at least three viewpoints and three pairs of images. Here, it is revealed that the fundamental Helmholtz stereopsis constraint defines a nonlinear partial differential equation, which can be solved using only two images. It is shown that, unlike conventional stereo, binocular Helmholtz stereopsis is able to establish correspondence (and thereby recover surface depth) for objects having an arbitrary and unknown BRDF and in textureless regions (i.e., regions of constant or slowly varying BRDF). An implementation and experimental results validate the method for specular surfaces with and without texture.
Keywords :
computer vision; image reconstruction; image texture; partial differential equations; shape measurement; stereo image processing; visual perception; BRDF; Helmholtz reciprocity; bidirectional reflectance distribution function; binocular Helmholtz stereopsis; conventional stereo; nonlinear partial differential equation; specular surfaces; surface depth recovery; surface reconstruction technique; surface reflectance; surface shape estimation; textureless regions; Cameras; Computer science; Image reconstruction; Light sources; Partial differential equations; Reflectivity; Shape; Stereo vision; Surface reconstruction; Surface texture;
Conference_Titel :
Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on
Conference_Location :
Nice, France
Print_ISBN :
0-7695-1950-4
DOI :
10.1109/ICCV.2003.1238655