[1]LI Chenxi,SUN Zhengxing,SONG Mofei,et al.A classification-based approach for best view selection of 3D models[J].CAAI Transactions on Intelligent Systems,2014,9(1):12-18.[doi:10.3969/j.issn.1673-4785.201305004]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
9
Number of periods:
2014 1
Page number:
12-18
Column:
学术论文—智能系统
Public date:
2014-02-25
- Title:
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A classification-based approach for best view selection of 3D models
- Author(s):
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LI Chenxi; SUN Zhengxing; SONG Mofei; ZHANG Feiqian
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State Key Lab for Novel Software Technology, Nanjing University, Nanjing 210093, China
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- Keywords:
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3D model; visualization; best view selection; view ranking; classification; classification-based approach
- CLC:
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TP391
- DOI:
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10.3969/j.issn.1673-4785.201305004
- Abstract:
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For automatic generation of the visualization and thumbnails of the 3D model set, an approach for best view selection of the 3D models is proposed, and this approach formulates the best view selection as a problem of evaluating views’ classification performance. Initially each of the 3D models’ view features is extracted, then for each view, we train the classifier that evaluates the view’s classification performance on a pre-classified set of 3D models. The view with the best classification performance is chosen as the best option. Finally, the selected views in the experiments are in accordance with the visual characteristics of humans, and the 3D models of the same class have the consistent best views. The results demonstrate the effectiveness of the approach for the best view selection.