NDLI: Statistical score fusion for 3D object retrieval

Content Provider	IEEE Xplore Digital Library
Author	Akgul, C.B. Sankur, B. Yemez, Y.
Copyright Year	2008
Description	Author affiliation: Elektrik ve Elektron. Muhendisligi Bulumu, Bogazici Univ., Istanbul (Akgul, C.B.; Sankur, B.)
Abstract	In this work, we introduce the score fusion problem for 3D object retrieval. Ongoing research in 3D object retrieval shows that no single descriptor is capable of providing fine grain discrimination required by prospective 3D search engines. We present a fusion algorithm that linearly combines similarity information originating from multiple shape descriptors. We learn the optimal set of weights in the linear combination by minimizing the emprical ranking risk. The algorithm is based on a recently introduced rigorous statistical ranking framework, for which consistency and fast rate of convergence of empirical ranking risk minimizers have been established. We report the results of relevance feedback search on a large 3D object database, the Princeton Shape Benchmark. Experiments show that, under query formulations with user intervention, the proposed score fusion scheme boosts the performance of the 3D retrieval machine significantly.
Starting Page	1
Ending Page	4
File Size	802779
Page Count	4
File Format	PDF
ISBN	9781424419982
DOI	10.1109/SIU.2008.4632607
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-20
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Art Shape Artificial neural networks Benchmark testing Three dimensional displays Silicon
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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
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