Title :
A theory of shape by space carving
Author :
Kutulakos, Kiriakos N. ; Seitz, Steven M.
Author_Institution :
Dept. of Comput. Sci., Rochester Univ., NY, USA
Abstract :
In this paper we consider the problem of computing the 3D shape of an unknown, arbitrarily-shaped scene from multiple photographs taken at known but arbitrarily-distributed viewpoints. By studying the equivalence class of all 3D shapes that reproduce the input photographs, we prove the existence of a special member of this class, the photo hull, that (1) can be computed directly from photographs of the scene, and (2) subsumes all other members of this class. We then give a provably-correct algorithm called Space Carving, for computing this shape and present experimental results on complex real-world scenes. The approach is designed to (1) build photorealistic shapes that accurately model scene appearance from a wide range of viewpoints, and (2) account for the complex interactions between occlusion, parallax, shading, and their effects on arbitrary views of a 3D scene
Keywords :
equivalence classes; image reconstruction; 3D shape; complex real-world scenes; computer vision; equivalence class; occlusion; parallax; photo hull; photorealistic shapes; shading; space carving; Cameras; Computer science; Computer vision; Electrical capacitance tomography; Face detection; Layout; Orbital robotics; Read only memory; Shape; Stereo vision;
Conference_Titel :
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0164-8
DOI :
10.1109/ICCV.1999.791235