NDLI: 3D shape reconstruction from incomplete silhouettes in multiple frames

Content Provider	IEEE Xplore Digital Library
Author	Toyoura, M. Iiyama, M. Funatomi, T. Kakusho, K. Minoh, M.
Copyright Year	2008
Description	Author affiliation: Acad. Center for Comput. & Media Studies, Kyoto Univ., Kyoto (Toyoura, M.; Iiyama, M.; Funatomi, T.; Kakusho, K.; Minoh, M.)
Abstract	3D shapes are reconstructed from silhouettes obtained by multiple cameras with the volume intersection method. In recent work, methods of integrating silhouettes in time sequences have been proposed. The number of silhouettes can be increased by integrating silhouettes in multiple frames. The silhouettes of a rigid object in multiple frames are integrated with its rigid motion. This motion is often estimated with 3D feature points extracted from silhouettes. When the estimated motion has large error, shapes are reconstructed with missing parts. This error is given by the incomplete extraction of 3D feature points, which is caused by additional and missing regions of extracted silhouettes. We cannot prevent silhouettes from being extracted with the additional and missing regions in real environments. Here, we propose an intelligent method of integrating incomplete silhouettes where outcrop points, which are 3D feature points for estimating motion, play an important role. The reconstructed shape can be evaluated referring to how many outcrop points have been included in the reconstructed shape of another frame. Although the evaluation does not represent the accuracy of estimated motion directly, it does guarantee that outstanding parts will be preserved in the reconstructed shape. Silhouettes in multiple frames can be integrated with fewer missing and additional parts based on this evaluation.
Starting Page	1
Ending Page	4
File Size	1161940
Page Count	4
File Format	PDF
ISBN	9781424421749
ISSN	10514651
DOI	10.1109/ICPR.2008.4761591
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Cameras Motion estimation Feature extraction Shape measurement Surface reconstruction Costs
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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