We propose several cost functions for registration of shapes encoded with Euclidean and/or non-Euclidean information (unit vectors).

Aug 25, 2017 · Abstract:We propose several cost functions for registration of shapes encoded with Euclidean and/or non-Euclidean information (unit vectors) ...

We propose several cost functions for registration of shapes encoded with Euclidean and/or non-. Euclidean information (unit vectors).

We extend the L2 registration framework to include directional data. •. We model the directional data using von Mises Fisher kernels.

Aug 29, 2017 · In this paper we propose to use von Mises-Fisher kernels to model the normal vectors of the shape (i.e. 2D contours, and 3D surface).

A Second-Order Lower Bound for Globally Optimal 2D Registration · Globally Optimal Registration based on Fast Branch and Bound · Comparing Seven Methodologies for ...

Dec 7, 2021 · Abstract. We propose several cost functions for registration of shapes encoded with Euclidean and/or non-Euclidean information (unit vectors).

Shape registration with directional data. Published in. Pattern Recognition, July 2018. DOI, 10.1016/j.patcog.2018.02.021. Authors. Mairéad Grogan, Rozenn ...

Bibliographic details on Shape Registration with Directional Data.

Abstract We propose several cost functions for registration of shapes encoded with Euclidean and/or non-Euclidean information (unit vectors).