Title :
3 D shape and light source location from depth and reflectance
Author :
Mancini, Todd A. ; Wolff, Lawrence B.
Author_Institution :
Dept. of Comput. Sci., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
A methodology for accurate determination of surface normals and light source location from depth and reflectance data is introduced. Estimation of local surface orientation using depth data alone from range finders with standard depth errors can produce significant error, while shape-from-shading using reflectance data alone produces approximate surface orientation results that are highly dependent on the correct initial surface orientation estimates and regularization parameters. Combining these two sources of information gives vastly more accurate surface orientation estimates under general conditions than either one alone, and can also provide better knowledge of local curvature. Novel iterative methods that enforce satisfaction of the image irradiance equation and surface integrability without using regularization are proposed. These iterative methods work when the light source is any finite distance from the object, producing variable incident light orientation over the object
Keywords :
computer vision; image recognition; 3 D shape; approximate surface orientation; depth data; depth errors; image irradiance equation; initial surface orientation; iterative methods; light source location; local curvature; local surface orientation; range finders; reflectance data; regularization parameters; satisfaction; shape-from-shading; surface integrability; surface normals; variable incident light orientation; Computer science; Equations; Information resources; Instruments; Iterative methods; Laser theory; Light sources; Reflectivity; Shape; Surface fitting;
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
Print_ISBN :
0-8186-2855-3
DOI :
10.1109/CVPR.1992.223195