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Applied Mathematics-A Journal of Chinese Universities  2018, Vol. 33 Issue (1): 88-106    DOI: 10.1007/s11766-018-3536-6
    
Data driven composite shape descriptor design for shape retrieval with a VoR-Tree
WANG Zi-hao, LIN Hong-wei, XU Chen-kai
School of Mathematical Science, State Key Lab. of CAD&CG, Zhejiang University, Hangzhou 310027, China.
Data driven composite shape descriptor design for shape retrieval with a VoR-Tree
WANG Zi-hao, LIN Hong-wei, XU Chen-kai
School of Mathematical Science, State Key Lab. of CAD&CG, Zhejiang University, Hangzhou 310027, China.
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摘要： We develop a data driven method (probability model) to construct a composite shape descriptor by combining a pair of scale-based shape descriptors. The selection of a pair of scale-based shape descriptors is modeled as the computation of the union of two events, i.e., retrieving similar shapes by using a single scale-based shape descriptor. The pair of scale-based shape descriptors with the highest probability forms the composite shape descriptor. Given a shape database, the composite shape descriptors for the shapes constitute a planar point set. A VoR-Tree of the planar point set is then used as an indexing structure for efficient query operation. Experiments and comparisons show the effectiveness and efficiency of the proposed composite shape descriptor.
关键词： shape descriptor;  shape retrieval;  shape analysis;  data-driven model    
Abstract: We develop a data driven method (probability model) to construct a composite shape descriptor by combining a pair of scale-based shape descriptors. The selection of a pair of scale-based shape descriptors is modeled as the computation of the union of two events, i.e., retrieving similar shapes by using a single scale-based shape descriptor. The pair of scale-based shape descriptors with the highest probability forms the composite shape descriptor. Given a shape database, the composite shape descriptors for the shapes constitute a planar point set. A VoR-Tree of the planar point set is then used as an indexing structure for efficient query operation. Experiments and comparisons show the effectiveness and efficiency of the proposed composite shape descriptor.
Key words: shape descriptor    shape retrieval    shape analysis    data-driven model
收稿日期: 2017-06-03 出版日期: 2018-03-28
CLC:  68P20  
基金资助: This work is supported by the National Key R&D Plan of China (2016YFB1001501)
通讯作者: LIN Hong-wei     E-mail: hwlin@zju.edu.cn
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WANG Zi-hao
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引用本文:

WANG Zi-hao, LIN Hong-wei, XU Chen-kai. Data driven composite shape descriptor design for shape retrieval with a VoR-Tree[J]. Applied Mathematics-A Journal of Chinese Universities, 2018, 33(1): 88-106.

WANG Zi-hao, LIN Hong-wei, XU Chen-kai. Data driven composite shape descriptor design for shape retrieval with a VoR-Tree. Applied Mathematics-A Journal of Chinese Universities, 2018, 33(1): 88-106.

链接本文:

http://www.zjujournals.com/amjcub/CN/10.1007/s11766-018-3536-6    或    http://www.zjujournals.com/amjcub/CN/Y2018/V33/I1/88

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