Minimal Solvers for Full DoF Motion Estimation from Asynchronous Tracks

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Hruby, Petr, Pollefeys, Marc
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866912551973945344
author Hruby, Petr
Pollefeys, Marc
author_facet Hruby, Petr
Pollefeys, Marc
contents We address the problem of estimating both translational and angular velocity of a camera from asynchronous point tracks, a formulation relevant to rolling shutter and event cameras. Since the original problem is non-polynomial, we propose a polynomial approximation, classify the resulting minimal problems, and determine their algebraic degrees. Furthermore, we develop minimal solvers for several problems with low degrees and evaluate them on synthetic and real datasets. The code will be made publicly available.
format Preprint
id arxiv_https___arxiv_org_abs_2508_17537
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Minimal Solvers for Full DoF Motion Estimation from Asynchronous Tracks
Hruby, Petr
Pollefeys, Marc
Computer Vision and Pattern Recognition
68T45
I.4.5
We address the problem of estimating both translational and angular velocity of a camera from asynchronous point tracks, a formulation relevant to rolling shutter and event cameras. Since the original problem is non-polynomial, we propose a polynomial approximation, classify the resulting minimal problems, and determine their algebraic degrees. Furthermore, we develop minimal solvers for several problems with low degrees and evaluate them on synthetic and real datasets. The code will be made publicly available.
title Minimal Solvers for Full DoF Motion Estimation from Asynchronous Tracks
topic Computer Vision and Pattern Recognition
68T45
I.4.5
url https://arxiv.org/abs/2508.17537