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A Bi-Invariant Statistical Model Parametrized by Mean and Covariance on Rigid Motions
Emmanuel Chevallier, Nicolas Guigui

A Bi-Invariant Statistical Model Parametrized by Mean and Covariance on Rigid Motions

Author / Organization:
Science & Mathematics Published 2020 Verification Pending

Overview & Synopsis

This paper aims to describe a statistical model of wrapped densities for bi-invariant statistics on the group of rigid motions of a Euclidean space. Probability distributions on the group are constructed from distributions on tangent spaces and pushed to the group by the exponential map. We provide an expression of the Jacobian determinant of the exponential map of SE(n) which enables the obtaining of explicit expressions of the densities on the group. Besides having explicit expressions, the strengths of this statistical model are that densities are parametrized by their moments and are easy to sample from. Unfortunately, we are not able to provide convergence rates for density estimation. We provide instead a numerical comparison between the moment-matching estimators on SE(2) and R 3 , which shows similar behaviors.

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Document Information

Document Title A Bi-Invariant Statistical Model Parametrized by Mean and Covariance on Rigid Motions
Author / Organization Emmanuel Chevallier, Nicolas Guigui
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2020
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-199864
Original Source Link Visit Source Page on hal.science »