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    Author(s): Sang-Mook Lee; A. Lynn Abbott; Neil A. Clark; Philip A. Araman
    Date: 2003
    Source: Proceedings, the 29th Annual Conference of the IEEE Industrial Electronics Society
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (453.51 KB)


    Splines can be used to approximate noisy data with a few control points. This 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 recognition of deformable shapes.

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    Lee, Sang-Mook; Abbott, A. Lynn.; Clark, Neil A.; Araman, Philip A. 2003. Spline curve matching with sparse knot sets: applications to deformable shape detection and recognition. Proceedings, the 29th Annual Conference of the IEEE Industrial Electronics Society

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