The Euclidean distance degree of one-parameter anchored multiview varieties

Fuente: arXiv
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Autores principales: Finkel, Bella, Rodriguez, Jose Israel
Formato: Preprint
Publicado: 2025
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author Finkel, Bella
Rodriguez, Jose Israel
author_facet Finkel, Bella
Rodriguez, Jose Israel
contents Multiview varieties are mathematical models for the set of image feature correspondences that can be produced by a given camera arrangement. They possess an invariant known as their Euclidean distance (ED) degree, which measures the algebraic complexity of determining the 3D features that minimize the reprojection error when computing the scene structure by triangulation. In this article, we prove a formula for the ED degree of curves parameterized by rational functions with mild genericity assumptions. We apply our results to resolve conjectures on one-dimensional line multiview varieties from computer vision proposed by Duff and Rydell.
format Preprint
id arxiv_https___arxiv_org_abs_2512_18521
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The Euclidean distance degree of one-parameter anchored multiview varieties
Finkel, Bella
Rodriguez, Jose Israel
Algebraic Geometry
Multiview varieties are mathematical models for the set of image feature correspondences that can be produced by a given camera arrangement. They possess an invariant known as their Euclidean distance (ED) degree, which measures the algebraic complexity of determining the 3D features that minimize the reprojection error when computing the scene structure by triangulation. In this article, we prove a formula for the ED degree of curves parameterized by rational functions with mild genericity assumptions. We apply our results to resolve conjectures on one-dimensional line multiview varieties from computer vision proposed by Duff and Rydell.
title The Euclidean distance degree of one-parameter anchored multiview varieties
topic Algebraic Geometry
url https://arxiv.org/abs/2512.18521