Title :
Ill-posed problems in surface and surface shape recovery
Author :
Kamberov, George ; Kamberova, Gerda
Author_Institution :
Dept. of Comput. Sci., Stevens Inst. of Technol., Hoboken, NJ, USA
Abstract :
We present new theoretical results which have implications in answering one of the fundamental questions in computer vision: recognition of surfaces and surface shapes. We state the conditions under which: (i) a surface can be recovered, uniquely, from the tangent plane map, in particular from the Gauss map; (ii) a surface shape can be recovered from the metric and the deforming forces. In case where such conditions are not satisfied we classify all exceptions, i.e. the surfaces and surface shapes for which the recovery and registration problems are ill-posed
Keywords :
computer vision; image registration; image restoration; Gauss map; computer vision; ill-posed; recovery; registration; surface shape recovery; surface shapes; surfaces; Application software; Computational geometry; Computer science; Computer vision; Electrical capacitance tomography; Face detection; Gaussian processes; Read only memory; Shape; Testing;
Conference_Titel :
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location :
Hilton Head Island, SC
Print_ISBN :
0-7695-0662-3
DOI :
10.1109/CVPR.2000.855868