The Square Root Velocity Framework for Curves in a Homogeneous Space

Zhe Su, Eric Klassen, Martin Bauer; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017, pp. 1-10

Abstract


In this paper we study the shape space of curves with values in a homogeneous space M = G/K, where G is a Lie group and K is a compact Lie subgroup. We generalize the square root velocity framework to obtain a reparametrization invariant metric on the space of curves in M. By identifying curves in M with their horizontal lifts in G, geodesics then can be computed. We can also mod out by reparametrizations and by rigid motions of M. In each of these quotient spaces, we can compute Karcher means, geodesics, and perform principal component analysis. We present numerical examples including the analysis of a set of hurricane paths.

Related Material


[pdf] [arXiv]
[bibtex]
@InProceedings{Su_2017_CVPR_Workshops,
author = {Su, Zhe and Klassen, Eric and Bauer, Martin},
title = {The Square Root Velocity Framework for Curves in a Homogeneous Space},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}