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Viewpoint-Aware Representation for Sketch-Based 3D Model Retrieval

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成果类型:
期刊论文
作者:
Zou, Changqing*;Wang, Changhu;Wen, Yafei;Zhang, Lei;Liu, Jianzhuang
通讯作者:
Zou, Changqing
作者机构:
[Zou, Changqing; Wen, Yafei] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China.
[Zou, Changqing] Hengyang Normal Univ, Dept Phys & Elect Informat Sci, Hengyang 421008, Peoples R China.
[Zou, Changqing] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
[Zhang, Lei; Wang, Changhu] Microsoft Res Asia, Beijing, Peoples R China.
[Liu, Jianzhuang] Huawei Technol Co Ltd, Media Lab, Shenzhen 518129, Peoples R China.
通讯机构:
[Zou, Changqing] C
Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China.
语种:
英文
关键词:
3D model retrieval;junction-based local feature;query-to-model distance;viewpoint-aware representation
期刊:
IEEE Signal Processing Letters
ISSN:
1070-9908
年:
2014
卷:
21
期:
8
页码:
966-970
基金类别:
Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [13C073]; Construct Program of the Key Discipline in Hunan Province
机构署名:
本校为其他机构
院系归属:
物理与电子工程学院
摘要:
We study the problem of sketch-based 3D model retrieval, and propose a solution powered by a new query-to-model distance metric and a powerful feature descriptor based on the bag-of-features framework. The main idea of the proposed query-to-model distance metric is to represent a query sketch using a compact set of sample views (called basic views) of each model, and to rank the models in ascending order of the representation errors. To better differentiate between relevant and irrelevant models, the representation is constrained to be essentially a combination of basic views with similar view...

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