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.
%0 Journal Article
%1 citeulike:2234485
%A Leifman, George
%A Meir, Ron
%A Tal, Ayellet
%D 2005
%J The Visual Computer
%K 3d FOCUSK3D feedback information-retrieval relevance relevance-feedback searching shapes
%N 8-10
%P 865--875
%R 10.1007/s00371-005-0341-z
%T Semantic-oriented 3d shape retrieval using relevance feedback
%U http://dx.doi.org/10.1007/s00371-005-0341-z
%V 21
%X 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.
@article{citeulike:2234485,
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.},
added-at = {2009-09-29T14:02:26.000+0200},
author = {Leifman, George and Meir, Ron and Tal, Ayellet},
biburl = {https://www.bibsonomy.org/bibtex/2e844a46c4105622a540b4d03d6f98be3/focusk3d},
citeulike-article-id = {2234485},
citeulike-linkout-0 = {http://dx.doi.org/10.1007/s00371-005-0341-z},
description = {3D},
doi = {10.1007/s00371-005-0341-z},
interhash = {3f66b13ca3ffb74370870a6e671de694},
intrahash = {e844a46c4105622a540b4d03d6f98be3},
journal = {The Visual Computer},
keywords = {3d FOCUSK3D feedback information-retrieval relevance relevance-feedback searching shapes},
number = {8-10},
pages = {865--875},
posted-at = {2009-06-07 16:04:40},
priority = {2},
timestamp = {2009-10-01T18:46:00.000+0200},
title = {Semantic-oriented 3d shape retrieval using relevance feedback},
url = {http://dx.doi.org/10.1007/s00371-005-0341-z},
volume = 21,
year = 2005
}