A shape distance based on the Fisher–Rao metric and its application for shapes clustering

Stefano Antonio Gattone, Angela De Sanctis, Tommaso Russo and Domitilla Pulcini

Physica A: Statistical Mechanics and its Applications, 2017, vol. 487, issue C, 93-102

Abstract: In the clustering of shapes, which is a longstanding challenge in the framework of geometric morphometrics and shape analysis, is crucial the selection and application of a suitable and appropriate measurement of distance among observations (i.e. individuals). The aim of this study is to model shapes from complex systems using Information Geometry tools.

Keywords: Landmarks; Shape analysis; Fisher–Rao metric; Information geometry; Geodesics (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:487:y:2017:i:c:p:93-102

DOI: 10.1016/j.physa.2017.06.014

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