PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Semantic-Oriented 3D Shape Retrieval using Relevance Feedback
George Leifman, Ron Meir and Ayelet Tal
The Visual Computer Volume 21, Number 8-10, 865 -875, 2005. ISSN 0178-2789 (Paper) 1432-2315 (Online)

Abstract

Shape-based retrieval of 3D models has become an important challenge in computer graphics. Object similarity, however, is a subjective matter, dependent on the human viewer, since objects have semantics and are not mere geometric entities. Relevance feedback aims at addressing the subjectivity of similarity. This paper presents a novel relevance feedback algorithm that is based on supervised as well as unsupervised feature extraction techniques. It also proposes a novel signature for 3D models, the sphere projection. A Web search engine that realizes the signature and the relevance feedback algorithm is presented.We show that the proposed approach produces good results and outperforms previous techniques.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:1465
Deposited By:Ron Meir
Deposited On:28 November 2005