Multiscale Representation of 3D Surfaces via Stochastic Mesh Laplacian
- Submitting institution
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University of Brighton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 7152928
- Type
- D - Journal article
- DOI
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10.1016/j.cad.2019.05.006
- Title of journal
- Computer-Aided Design
- Article number
- -
- First page
- 98
- Volume
- 115
- Issue
- -
- ISSN
- 0010-4485
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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1
- Research group(s)
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-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Representing a 3D model at multiple scales of resolution by taking into account the topological and/or geometric structure of an input mesh and using eigendecomposition is computationally expensive. This paper is significant because it proposes a method, based on a stochastic mesh Laplacian, which can be used efficiently with the very large 3D models that are common outputs of 3D-modelling and 3D-scanning processes. The results inform discussion about optimisation techniques for CAD design.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -