Mesh saliency via spectral processing
- Submitting institution
-
Aberystwyth University / Prifysgol Aberystwyth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 6729757
- Type
- D - Journal article
- DOI
-
10.1145/2530691
- Title of journal
- ACM Transactions on Graphics
- Article number
- 10
- First page
- -
- Volume
- 33
- Issue
- 1
- ISSN
- 0730-0301
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
https://dl.acm.org/doi/10.1145/2530691#sec-supp
- 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)
-
-
- Citation count
- 71
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presents a novel method that has found a wide range of applications such as mesh simplification, mesh segmentation and scan integration, where the detected mesh saliency essentially provides additional cues and guidance. This work has motivated many further developments by world-leading groups (e.g., those at University of Science and Technology of China; Yale University; University of Groningen; University of Caen Normandy; University of Lyon; and Technical University Darmstadt). ACM T-Graphics is a leading outlet in the subject area.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -