Title: | A comparative analysis of B-spline deformation models in 3D shape matching |
Authors: | Langerak, T. R. Song, Y. |
Citation: | WSCG 2010: Full Papers Proceedings: 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, p. 143-150. |
Issue Date: | 2010 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_FULL-proceedings.pdf http://hdl.handle.net/11025/10863 |
ISBN: | 978-80-86943-88-6 |
Keywords: | registrace 3D tvarů;B-spline deformace;freeform deformace;markovovská náhodná pole;model aktivních tvarů |
Keywords in different language: | 3D shape matching;B-spline deformation;freeform deformation;markov random fields;active shape model |
Abstract: | Lattice-based B-spline driven deformation has become a useful method in shape matching applications. Here, the challenge is to find a configuration of the B-spline deformation model that effectuates a deformation that spatially aligns one shape (the source) to another shape (the target). Literature study indicates that few B-Spline deformation based algorithms were implemented that target polygonal meshes. In contrast, in the field of medical image registration, B-spline deformation has been extensively applied in matching shapes that use a voxel-based shape representation. For exploring the opportunities of applying these voxel-based methods to the shape matching of polygonal meshes, in this paper we propose to match polygon meshes by transforming them to voxel models and apply established techniques from the field of medical imaging. Two voxel-based methods are selected and implemented: Global Optimization methods, which globally optimize the B-spline model, and Markov Random Field methods, which locally optimize the B-spline model. These methods are compared to parameterized B-spline-based shape matching methods previously proposed by the authors. These methods directly match polygon meshes. Results indicate that the proposed methodology outperforms the parameterized approach in terms of accuracy and computation time and therefore is a promising alternative to existing methods. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG 2010: Full Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
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Langerak.pdf | Plný text | 349,05 kB | Adobe PDF | View/Open |
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http://hdl.handle.net/11025/10863
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