Local features for partial shape matching and retrieval

Ivan Sipiran

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This PhD thesis proposal is focused on proposing solutions to the problem of Partial Shape Retrieval which is part of the Three-Dimensional Object Retrieval problem and represents a very challenging problem. Given a shape (or a part of a shape) as query, one wants to retrieve from a collection of 3D models those objects which contain parts visually similar to the query. Difficulties can arise due to the need of representing a model in a compact way with local information, where the extent of the locality is unknown a priori. In addition, the matching becomes an expensive task because of the large amount of possible memberships of the partial query in the shapes. Typically, assumptions are made to constrain the problem in order to solve it effectively. Therefore, partial shape retrieval is a challenging and open problem. In this document, we provide proposals to address this problem and furthermore, we discuss the open problems and the important issues that should be tackled in order to solve the problem of Partial Shape Matching and Retrieval.

Original languageEnglish
Title of host publicationMM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops
Pages853-856
Number of pages4
DOIs
StatePublished - 2011
Externally publishedYes
Event19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11 - Scottsdale, AZ, United States
Duration: 28 Nov 20111 Dec 2011

Publication series

NameMM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops

Conference

Conference19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11
Country/TerritoryUnited States
CityScottsdale, AZ
Period28/11/111/12/11

Keywords

  • 3d local feautures
  • Shape matching
  • Shape retrieval

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