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Spline curve matching with sparse knot setsAuthor(s): Sang-Mook Lee; A. Lynn Abbott; Neil A. Clark; Philip A. Araman
Source: Proceedings, Sixth Asian Conference on Computer Vision. 246-251.
Publication Series: Miscellaneous Publication
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DescriptionThis paper presents a new curve matching method for deformable shapes using two-dimensional splines. In contrast to the residual error criterion, which is based on relative locations of corresponding knot points such that is reliable primarily for dense point sets, we use deformation energy of thin-plate-spline mapping between sparse knot points and normalized local curvature information. This method has been tested successfully for the detection and database retrieval of deformable shapes.
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CitationLee, Sang-Mook; Abbott, A. Lynn; Clark, Neil A.; Araman, Philip A. 2004. Spline curve matching with sparse knot sets. Proceedings, Sixth Asian Conference on Computer Vision. 246-251.
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