Scale-aware Black-and-White Abstraction of 3D Shapes
- Submitting institution
-
The University of Bath
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 189106849
- Type
- D - Journal article
- DOI
-
10.1145/3197517.3201372
- Title of journal
- ACM Transactions on Graphics
- Article number
- 117
- First page
- 1
- Volume
- 37
- Issue
- 4
- ISSN
- 0730-0301
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3197517.3201372&file=a117-lin.mp4&download=true
- 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
-
2
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Flat design is a modern style of graphics design that minimizes the number of design attributes required to convey 3D shapes, which suits design contexts requiring simplicity and efficiency. This paper for the first time investigates how to computationally generate specialized 2D flat representation - image formed by black-and-white patches - from 3D shapes. A novel framework based on joint 2D-3D analysis and patch layout optimization is presented. The evaluation is extensive by testing on various man-made shapes, comparing with baseline methods via a pilot user study, and highlighting two practical applications.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -