Mesh Saliency via Spectral Processing
- Submitting institution
-
Edge Hill University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 20350841
- Type
- D - Journal article
- DOI
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10.1145/2530691
- Title of journal
- ACM Transactions on Graphics
- Article number
- a6
- 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
-
-
- 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
- The proposed method has attracted 126 citations (google scholar) since its publication in 2014 and has been selected more than 31 times for comparative studies (IEEE TMM 22(2020) 2278-2292). It has been applied at least four times for optimized slicing and mesh segmentation in printing and visual quality assessment of meshes (COMPUTER GRAPHICS forum 33(2014) 1–12 and Graphical Models 99(2018) 1–12). It has also been further developed at least three times for shape retrieval (Computers & Graphics 59(2016) 57–67) and for key point detection of 3D surfaces (MMSP, 2017, pp. 1-6) and China patent application (201610279232.4)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -