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MMM
2005
Springer
128views Multimedia» more  MMM 2005»
13 years 10 months ago
Feature Combination and Relevance Feedback for 3D Model Retrieval
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 fea...
Indriyati Atmosukarto, Wee Kheng Leow, Zhiyong Hua...
JMM
2007
109views more  JMM 2007»
13 years 4 months ago
Multi-Feature Integration with Relevance Feedback on 3D Model Similarity Retrieval
In this paper, we combine the use of Reduced Feature Vector Integration (RFI) and Distance Integration (DI) with Relevance Feedback (RF) on 3D model similarity retrieval. The RFI ...
Saiful Akbar, Josef Küng, Roland Wagner
ISCSCT
2008
IEEE
13 years 11 months ago
Partial Relevance Feedback for 3D Model Retrieval
—Relevance feedback(RF) has been proved to be an effective way to improve the precision and recall of 3D model retrieval. However, the existing RF approaches do not consider whic...
Baokun Hu, Yusheng Liu, Shuming Gao, Jing Hu
CIKM
2009
Springer
13 years 11 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
SAMT
2009
Springer
176views Multimedia» more  SAMT 2009»
13 years 11 months ago
Shape-Based Autotagging of 3D Models for Retrieval
This paper describes an automatic annotation, or autotagging, algorithm that attaches textual tags to 3D models based on their shape and semantic classes. The proposed method emplo...
Ryutarou Ohbuchi, Shun Kawamura