Curvature based sampling of curves and surfaces
- Submitting institution
-
The University of Huddersfield
- Unit of assessment
- 12 - Engineering
- Output identifier
- 60
- Type
- D - Journal article
- DOI
-
10.1016/j.cagd.2017.11.004
- Title of journal
- Computer Aided Geometric Design
- Article number
- -
- First page
- 32
- Volume
- 59
- Issue
- -
- ISSN
- 0167-8396
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- 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
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In this paper a novel ubiquitous sampling strategy is developed, based on curvature decomposition that is very near optimum sampling for extremely generic geometries. Optimised measurement sampling strategies are important for industrial applications in that they save time and costs in the verification of geometrical products; particularly smooth freeform geometries as used in high value manufacturing such as: aerospace, automotive, medical implants, and optics (mobile phones, defence etc.). The developed technology will be incorporated into the next update of ISO 14406 extraction (Scott is the project leader) for geometrical products, ensuring availability and uptake of the technology by industries worldwide.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
