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Grogan, Mairéad and Dahyot, Rozenn (2018) Shape registration with directional data. Pattern Recognition, 79. pp. 452-466. ISSN 0031-3203
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Abstract
We propose several cost functions for registration of shapes encoded with Euclidean and/or non-Euclidean information (unit vectors). Our framework is assessed for estimation of both rigid and non-rigid
transformations between the target and model shapes corresponding to 2D contours and 3D surfaces. The
experimental results obtained confirm that using the combination of a point’s position and unit normal
vector in a cost function can enhance the registration results compared to state of the art methods.
| Item Type: | Article |
|---|---|
| Keywords: | Shape registration; Directional information; Von Mises-Fisher; L2 registration; |
| Academic Unit: | Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 15106 |
| Identification Number: | 10.1016/j.patcog.2018.02.021 |
| Depositing User: | Rozenn Dahyot |
| Date Deposited: | 07 Dec 2021 16:25 |
| Journal or Publication Title: | Pattern Recognition |
| Publisher: | Elsevier |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/15106 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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