Conference proceeding
Investigations of Tensor Voting Modeling
WSCG 2008, COMMUNICATION PAPERS
01 Jan 2008
Abstract
Tensor voting (TV) is a method for inferring geometric structures from sparse, irregular and possibly noisy input. It was initially proposed by Guy and Medioni [Guy96] and has been applied to several computer vision applications. TV generates a dense output field in a domain by dispersing information associated with sparse input tokens. In 3-D this implies that a surface can be generated from a set of input data, giving tensor voting a potential application in surface modeling. We study the tensor voting methodology in a modeling context by implementing a simple 3-D modeling tool. The user creates a surface from a set of points and normals. The user may interact with these tokens in order to modify the surface. We describe the results of our investigation.
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Details
- Title
- Investigations of Tensor Voting Modeling
- Creators
- Joanna Beltowska - Drexel Univ, Dept Comp Sci, Philadelphia, PA 19104 USAKen Museth - Linkoping Univ, Sci & Technol Dept, Norrkoping, SwedenDavid Breen - Drexel University
- Contributors
- S Cunningham (Editor)Skala (Editor)
- Publication Details
- WSCG 2008, COMMUNICATION PAPERS
- Publisher
- Union Agency Science Press
- Number of pages
- 2
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Identifiers
- 991019170498104721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Software Engineering
- Imaging Science & Photographic Technology
- Mathematics, Applied