| Title: | New Methods and Novel Framework for Hypersurface Curvature Determination and Analysis |
| Authors: | Hauenstein, Jacob Newman, Timothy S. |
| Citation: | Journal of WSCG. 2021, vol. 29, no. 1-2, p. 11-20. |
| Issue Date: | 2021 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | článek article |
| URI: | http://wscg.zcu.cz/WSCG2021/2021-J-WSCG-1-2.pdf http://hdl.handle.net/11025/44944 |
| ISSN: | 1213-6972 (print) 1213-6980 (CD-ROM) 1213-6964 (on-line) |
| Keywords: | zakřivení;volumetrická data;3D rozdělovač;hyperplocha;zobrazování |
| Keywords in different language: | curvature;volumetric data;3D Manifold;hypersurface;imaging |
| Abstract in different language: | New methods for hypersurface (that is, 3-dimensional manifold) curvature determination in volumetric data areintroduced. One method is convolution-based. Another method is spline-based. Method accuracy is also analyzed,with that analysis involving comparison of the methods with each other as well as against two existing convolution-based methods. The accuracy analysis utilizes a novel framework that enables curvature determination methodaccuracy analysis via dynamically generated synthetic test datasets formed from continuous trivariate functions.Such functions enable accuracy analysis versus ground truth. The framework is also described here. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | Volume 29, Number 1-2 (2021) |
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