Please use this identifier to cite or link to this item: https://doi.org/10.1109/MMMC.2005.39
Title: Feature combination and relevance feedback for 3D model retrieval
Authors: Atmosukarto, I. 
Leow, W.K. 
HUANG ZHIYONG 
Issue Date: 2005
Citation: Atmosukarto, I., Leow, W.K., HUANG ZHIYONG (2005). Feature combination and relevance feedback for 3D model retrieval. Proceedings of the 11th International Multimedia Modelling Conference, MMM 2005 : 334-339. ScholarBank@NUS Repository. https://doi.org/10.1109/MMMC.2005.39
Abstract: Retrieval of 3D models have attracted much research interest, and many types of shape features have been proposed. In this paper, we describe a novel approach of combining the feature types for 3D model retrieval and relevance feedback processing.Our approach performs query processing using pre-computed pairwise distances between objects measured according to various feature types. Experimental tests show that this approach performs better than retrieval by individual feature type. © 2005 IEEE.
Source Title: Proceedings of the 11th International Multimedia Modelling Conference, MMM 2005
URI: http://scholarbank.nus.edu.sg/handle/10635/78146
ISBN: 0769521649
DOI: 10.1109/MMMC.2005.39
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