DocumentCode
2237485
Title
Inferring the shape of the real object from the object reconstructed by volume intersection
Author
Laurentini, Aldo
Author_Institution
Dipartimento di Autom. ed Inf., Politecnico di Torino, Italy
fYear
1993
fDate
15-17 Jun 1993
Firstpage
280
Lastpage
285
Abstract
The volume intersection approach to the reconstruction of 3-D objects consists in intersecting the volumes obtained by back-projecting a number of silhouettes of an unknown object O . The problem of inferring, as far as possible, the shape of the unknown object O from the reconstructed object R is addressed. The points of the surface of R are divided into hard points, which belong to the surface of any possible object originating R , and soft points, which may or may not belong to O . Two cases are considered: in the first case R is the closest approximation of O which can be obtained with volume intersection techniques, i.e., its visual hull; in the second case, R is a generic reconstructed object. In both cases necessary and sufficient conditions are supplied for a point to be hard. Rules are given for computing the hard surfaces
Keywords
approximation theory; computational geometry; image reconstruction; stereo image processing; 3D object reconstruction; approximation; hard points; necessary condition; object; silhouettes; soft points; sufficient conditions; visual hull; volume intersection; Computer vision; Image reconstruction; Robustness; Shape; Solids; Sufficient conditions; Surface reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location
New York, NY
ISSN
1063-6919
Print_ISBN
0-8186-3880-X
Type
conf
DOI
10.1109/CVPR.1993.340968
Filename
340968
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