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Graph-based combinations of fragment descriptors for improved 3D Object Retrieval

Published: 22 February 2012 Publication History

Abstract

3D Object Retrieval is an important field of research with many application possibilities. One of the main goals in this research is the development of discriminative methods for similarity search. The descriptor-based approach to date has seen a lot of research attention, with many different extraction algorithms proposed. In previous work, we have introduced a simple but effective scheme for 3D model retrieval based on a spatially fixed combination of 3D object fragment descriptors. In this work, we propose a novel flexible combination scheme based on finding the best matching fragment descriptors to use in the combination. By an exhaustive experimental evaluation on established benchmark data we show the capability of the new combination scheme to provide improved retrieval effectiveness. The method is proposed as a versatile and inexpensive method to enhance the effectiveness of a given global 3D descriptor approach.

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Cited By

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  • (2017)2D and 3D shape retrieval using skeleton filling rateMultimedia Tools and Applications10.1007/s11042-016-3422-276:6(7823-7848)Online publication date: 1-Mar-2017
  • (2015)Empirical evaluation of dissimilarity measures for 3D object retrieval with application to multi-feature retrieval2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI)10.1109/CBMI.2015.7153629(1-6)Online publication date: Jun-2015
  • (2013)Data-aware 3D partitioning for generic shape retrievalComputers and Graphics10.1016/j.cag.2013.04.00237:5(460-472)Online publication date: 1-Aug-2013
  • Show More Cited By

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Published In

cover image ACM Conferences
MMSys '12: Proceedings of the 3rd Multimedia Systems Conference
February 2012
247 pages
ISBN:9781450311311
DOI:10.1145/2155555
  • General Chair:
  • Mark Claypool,
  • Program Chair:
  • Carsten Griwodz
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 February 2012

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Author Tags

  1. 3D object retrieval
  2. descriptor combinations
  3. effectiveness

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  • Research-article

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MMSyS '12
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MMSyS '12: Multimedia Systems Conference 2012
February 22 - 24, 2012
North Carolina, Chapel Hill

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Overall Acceptance Rate 176 of 530 submissions, 33%

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Cited By

View all
  • (2017)2D and 3D shape retrieval using skeleton filling rateMultimedia Tools and Applications10.1007/s11042-016-3422-276:6(7823-7848)Online publication date: 1-Mar-2017
  • (2015)Empirical evaluation of dissimilarity measures for 3D object retrieval with application to multi-feature retrieval2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI)10.1109/CBMI.2015.7153629(1-6)Online publication date: Jun-2015
  • (2013)Data-aware 3D partitioning for generic shape retrievalComputers and Graphics10.1016/j.cag.2013.04.00237:5(460-472)Online publication date: 1-Aug-2013
  • (2013)A Survey on Partial Retrieval of 3D ShapesJournal of Computer Science and Technology10.1007/s11390-013-1382-928:5(836-851)Online publication date: 17-Sep-2013

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