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Shape registration with directional data
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DOI：10.1016/j.patcog.2018.02.021.png)
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Abstract
En 中文
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. (C) 2018 Elsevier Ltd. All rights reserved.
Keywords:
Shape registration
Directional information
Von Mises-Fisher
L-2 registration
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