2008
DOI: 10.3756/artsci.7.124
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Supervised Learning of Salient 2D Views of 3D Models

Abstract: Figure 1: The first two best views selected using our algorithm. AbstractWe introduce a new framework for the automatic selection of the best views of 3D models based on the assumption that models belonging to the same class of shapes share the same salient features. The main issue is learning these features. We propose an algorithm for computing these features and their corresponding saliency value. At the learning stage, a large set of features are computed from every model and a boosting algorithm is applie… Show more

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Cited by 11 publications
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References 16 publications
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