NDLI: Spectral camera clustering

Content Provider	IEEE Xplore Digital Library
Author	Ladikos, A. Ilic, S. Navab, N.
Copyright Year	2009
Description	Author affiliation: Computer Aided Medical Procedures (CAMP), Technische Universität München, Germany (Ladikos, A.; Ilic, S.; Navab, N.)
Abstract	We propose an algorithm for clustering large sets of images of a scene into smaller subsets covering different parts of the scene suitable for 3D reconstruction. Unlike the canonical view selection of [13], we do not focus only on the visibility information, but introduce an alternative similarity measure which takes into account the relative camera orientations and their distance from the scene. This allows us to formalize the clustering problem as a graph partitioning and solve it using spectral clustering. The obtained image clusters bring down the amount of data that has to be considered by the reconstruction algorithms simultaneously, thereby allowing traditional algorithms to take advantage of large multi-view data sets processing them significantly faster and at smaller memory costs compared to using the full image datasets. We tested our approach on a number of multi-view data sets and demonstrated that the clustering we obtain is suitable for 3D reconstruction and coincides with what a human observer would consider as a good clustering.
Starting Page	2080
Ending Page	2086
File Size	4479145
Page Count	7
File Format	PDF
ISBN	9781424444427
DOI	10.1109/ICCVW.2009.5457537
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-27
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Conferences Layout Clustering algorithms Humans Reconstruction algorithms Cameras Image reconstruction Testing Biomedical imaging
Content Type	Text
Resource Type	Article

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 Libarray 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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