Title :
Uniqueness for shape from shading via photometric stereo technique
Author_Institution :
Dipartimento di Matematica ”G. Castelnuovo”, Sapienza - Universitá di Roma
Abstract :
We deal with the inverse problem of reconstructing a surface with photometric stereo technique, i.e. using two or more pictures of the surface lighted under different light sources. The new model studied in this paper allows us to extend previous results [1, 2] obtaining a uniqueness result and to solve the classical convex/concave ambiguity of the Shape from Shading (SfS) problem. Finally, we propose an approximation scheme for the solution of the problem testing it on real and synthetic images.
Keywords :
approximation theory; concave programming; convex programming; image reconstruction; stereo image processing; approximation scheme; classical convex-concave ambiguity; inverse problem; light sources; photometric stereo technique; real images; shape from shading problem; surface reconstruction; synthetic images; Approximation methods; Equations; Light sources; Mathematical model; Stereo vision; Surface reconstruction; Surface treatment; Hamilton-Jacobi Equations; Nonlinear Systems; Photometric Stereo; Semi-Lagran-gian Schemes; Shape from shading;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6116274