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Shape Registration with Directional Data
lib:72b7024d14b537e3 (v1.0.0)
Authors: Mairéad Grogan,Rozenn Dahyot
ArXiv: 1708.07791
Document: PDF DOI
Abstract URL: http://arxiv.org/abs/1708.07791v2
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.
ArXiv: 1708.07791
Document: PDF DOI
Abstract URL: http://arxiv.org/abs/1708.07791v2
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.
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