NDLI: Reconstruction of 3D Shapes Considering Inconsistent 2D Silhouettes

Content Provider	IEEE Xplore Digital Library
Author	Landabaso, J.L. Pardas, M. Casas, J.R.
Copyright Year	2006
Description	Author affiliation: Image Process. Group, Tech. Univ. of Catalonia, Barcelona, Spain (Landabaso, J.L.; Pardas, M.; Casas, J.R.)
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.
Starting Page	2209
Ending Page	2212
File Size	5017885
Page Count	4
File Format	PDF
ISBN	1424404800
ISSN	15224880
DOI	10.1109/ICIP.2006.313008
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Image reconstruction Noise shaping Calibration Image processing Computer errors Error correction Computer vision Layout Background noise Smart Room Shape from Silhouette SfS SfIS Visual Hull Inconsistent Hull Reconstruction 3D Computer Vision
Content Type	Text
Resource Type	Article

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