NDLI: 3D Model Retrieval Method Based on Single View

Content Provider	IEEE Xplore Digital Library
Author	Zhi Liu Qihua Chen Xiang Pan Yipan Feng
Copyright Year	2012
Abstract	In order to solve the view redundant problem in existing research work, we propose an approach based on a single view for 3D model shape feature measuring, and the similarity between models is calculated through dynamic programming algorithm. This method implements single view feature description and shape matching for 3D model. The algorithm is composed of three steps: Firstly, the pose of a 3D model is adjusted and the main view of the 3D model that best describes the profile features of the 3D model can be acquired by rendering. Then, through contour sampling of the rendered view, the model shape feature is described through extracting inner distance and inner angle. Finally, the similarity between different 3D models is calculated through dynamic programming algorithm. The experimental results show that the retrieval precision of the proposed method based on a single view is better than some traditional retrieval methods using 3D shape feature descriptor.
Starting Page	275
Ending Page	279
File Size	264638
Page Count	5
File Format	PDF
ISBN	9781467347259
DOI	10.1109/CIS.2012.68
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Histograms similarity measuring Shape Computational modeling Feature extraction Robustness 3D model retrieval single view 2D contour Gravity
Content Type	Text
Resource Type	Article

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