DocumentCode :
1572027
Title :
Reconstruction of 3D Shapes Considering Inconsistent 2D Silhouettes
Author :
Landabaso, J.L. ; Pardas, Montse ; Casas, J.R.
Author_Institution :
Image Process. Group, Tech. Univ. of Catalonia, Barcelona, Spain
fYear :
2006
Firstpage :
2209
Lastpage :
2212
Abstract :
The visual hull is defined as the intersection of the visual cones formed by the back-projection of C 2D silhouettes into the 3D space. The set of 2D silhouettes is consistent if there exists at least one volume which exactly explains them. Shape from silhouette (SfS) is the general term used to refer to the techniques employed to obtain a volume from silhouettes, which are considered to be consistent. In this paper we extend the idea of SfS to be used with sets of inconsistent silhouettes resulting from inaccurate calibration and erroneous 2D silhouette extraction techniques. The method presented detects and corrects errors in the silhouettes based on the consistency principle, implying an unbiased treatment of false alarms and misses in 2D.
Keywords :
calibration; feature extraction; image reconstruction; 3D shape reconstruction; SfS extraction technique; calibration; inconsistent 2D silhouette; shape-from-silhouette; visual cone intersection; visual hull; Background noise; Calibration; Computer errors; Computer vision; Error correction; Image processing; Image reconstruction; Layout; Noise shaping; Shape; 3D; Computer Vision; Inconsistent Hull; Reconstruction; SfIS; SfS; Shape from Silhouette; Smart Room; Visual Hull;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1522-4880
Print_ISBN :
1-4244-0480-0
Type :
conf
DOI :
10.1109/ICIP.2006.313008
Filename :
4107003
Link To Document :
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