Hierarchical Layout Deduction for Furniture Model Retrieval

PAN Wanbin; LI Shi; WANG Yigang; JI Zhongping

doi:10.1049/cje.2018.01.014

Volume 27 Issue 2

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PAN Wanbin, LI Shi, WANG Yigang, et al., “Hierarchical Layout Deduction for Furniture Model Retrieval,” Chinese Journal of Electronics, vol. 27, no. 2, pp. 359-366, 2018, doi: 10.1049/cje.2018.01.014

Citation:

PAN Wanbin, LI Shi, WANG Yigang, et al., “Hierarchical Layout Deduction for Furniture Model Retrieval,” Chinese Journal of Electronics, vol. 27, no. 2, pp. 359-366, 2018, doi: 10.1049/cje.2018.01.014

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Hierarchical Layout Deduction for Furniture Model Retrieval

doi: 10.1049/cje.2018.01.014

School of Media and Design, Hangzhou Dianzi University, Hangzhou 310018, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61702147, No.61672009, No.61572161, No.61502130), Zhejiang Province Department of Education Project (No.Y201737804), and Key Laboratory of Complex Systems Modeling and Simulation (Ministry of Education).

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Corresponding author: WANG Yigang (corresponding author) is a professor in Hangzhou Dianzi University. His research interests include image processing, computer graphics and virtual reality (Email:yigang.wang@hdu.edu.cn)
Received Date: 2017-06-21
Rev Recd Date: 2017-09-19
Publish Date: 2018-03-10

Abstract

Abstract

3D CAD model retrieval plays a fundamental role in producing impressive and innovative designs easier and faster. However, after decades of efforts, effective retrieval approach for furniture models is still rare. A novel retrieval approach for furniture models, based on a hierarchical layout deduction, is proposed according to the common structure characteristics of furniture. In order to discriminate furniture models effectively both on topological, geometrical and semantic layers, special components for furniture model are defined and a multiresolution furniture model descriptor, attributed hierarchy layout graph, is adopted. To promote the retrieval efficiency, a filtering process, based on random walks method, is applied. Based on hierarchy graph matching, the similarity between two furniture models, is determined. A prototype system is implemented to verify the proposed approach effectiveness.
- Furniture model retrieval,
- Hierarchy layout deduction,
- Assembly model retrieval,
- 3D CAD model

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References(17)

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