Probabilistic reasoning for assembly-based 3D modeling
Top Cited Papers
- 25 July 2011
- journal article
- research article
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Graphics
- Vol. 30 (4), 1-10
- https://doi.org/10.1145/2010324.1964930
Abstract
Assembly-based modeling is a promising approach to broadening the accessibility of 3D modeling. In assembly-based modeling, new models are assembled from shape components extracted from a database. A key challenge in assembly-based modeling is the identification of relevant components to be presented to the user. In this paper, we introduce a probabilistic reasoning approach to this problem. Given a repository of shapes, our approach learns a probabilistic graphical model that encodes semantic and geometric relationships among shape components. The probabilistic model is used to present components that are semantically and stylistically compatible with the 3D model that is being assembled. Our experiments indicate that the probabilistic model increases the relevance of presented components.Keywords
Funding Information
- Division of Computing and Communication Foundations (SES-0835601CCF-0641402FODAVA-0808515)
- Division of Social and Economic Sciences (SES-0835601CCF-0641402FODAVA-0808515)
- National Science Foundation (SES-0835601CCF-0641402FODAVA-0808515)
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