Institute of Computing Technology, Chinese Academy IR
Active Exploration of Large 3D Model Repositories | |
Gao, Lin1,2; Cao, Yan-Pei1; Lai, Yu-Kun3; Huang, Hao-Zhi1; Kobbelt, Leif4; Hu, Shi-Min1 | |
2015-12-01 | |
发表期刊 | IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
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ISSN | 1077-2626 |
卷号 | 21期号:12页码:1390-1402 |
摘要 | With broader availability of large-scale 3D model repositories, the need for efficient and effective exploration becomes more and more urgent. Existing model retrieval techniques do not scale well with the size of the database since often a large number of very similar objects are returned for a query, and the possibilities to refine the search are quite limited. We propose an interactive approach where the user feeds an active learning procedure by labeling either entire models or parts of them as "like" or "dislike" such that the system can automatically update an active set of recommended models. To provide an intuitive user interface, candidate models are presented based on their estimated relevance for the current query. From the methodological point of view, our main contribution is to exploit not only the similarity between a query and the database models but also the similarities among the database models themselves. We achieve this by an offline pre-processing stage, where global and local shape descriptors are computed for each model and a sparse distance metric is derived that can be evaluated efficiently even for very large databases. We demonstrate the effectiveness of our method by interactively exploring a repository containing over 100 K models. |
关键词 | Semi-supervised active learning data-driven exploration |
DOI | 10.1109/TVCG.2014.2369039 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Basic Research Project of China[2011CB302202] ; Natural Science Foundation of China[61120106007] ; National High Technology Research & Development Program of China[2012AA011801] ; Beijing Higher Institution Engineering Research Center ; Tsinghua University Initiative Scientific Research Program |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Software Engineering |
WOS记录号 | WOS:000364037400008 |
出版者 | IEEE COMPUTER SOC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/9161 |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Gao, Lin |
作者单位 | 1.Tsinghua Univ, TNlist, Beijing 100084, Peoples R China 2.Chinese Acad Sci, ICT, Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China 3.Cardiff Univ, Sch Comp Sci & Informat, Cardiff CF10 3AX, S Glam, Wales 4.Rhein Westfal TH Aachen, Comp Graph Grp, Aachen, Germany |
推荐引用方式 GB/T 7714 | Gao, Lin,Cao, Yan-Pei,Lai, Yu-Kun,et al. Active Exploration of Large 3D Model Repositories[J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,2015,21(12):1390-1402. |
APA | Gao, Lin,Cao, Yan-Pei,Lai, Yu-Kun,Huang, Hao-Zhi,Kobbelt, Leif,&Hu, Shi-Min.(2015).Active Exploration of Large 3D Model Repositories.IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,21(12),1390-1402. |
MLA | Gao, Lin,et al."Active Exploration of Large 3D Model Repositories".IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 21.12(2015):1390-1402. |
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