Mesh saliency via spectral processing
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 95722653
- Type
- D - Journal article
- DOI
-
10.1145/2530691
- Title of journal
- ACM Transactions on Graphics
- Article number
- 6
- First page
- -
- Volume
- 33
- Issue
- 1
- ISSN
- 0730-0301
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2014
- URL
-
http://dx.doi.org/10.1145/2530691
- 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
-
3
- Research group(s)
-
V - Visual computing
- Citation count
- 71
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper takes a new approach to measure mesh saliency, using an efficient multi-resolution spectral method, better capturing both global spatial information and local salient features of various sizes. This means that it is less sensitive to noise, and is applicable to a wider range of scanned data. It achieves superior performance for saliency-guided mesh simplification, and supports novel applications of mesh saliency, mesh segmentation and scan integration. Subsequent authors have used this approach for additional, diverse applications such as 3D watermarking (https://doi.org/10.1007/978-981-10-4154-9 37) and slicing optimization for 3D printing (https://doi.org/10.1111/cgf.12527).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -