Closed-form solutions for rigid transformations between heterogeneous groups of noisy geometric primitives

Computing the transformation between noisy collections of geometric primitives is a classic problem in three-dimensional computer vision and geometric computing. In this paper, we consider minimum sets of noisy objects and provide closed-form formulae to compute the Euclidean transformation that best transforms from one of these sets to another set. We enumerate these for all primitive object groups that appear in common three-dimensional computer vision problems and describe example applications. This article is part of the theme issue 'Modern applications of geometric algebra'.

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Publication Details

Journal
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
Published
2026-08-13
DOI
https://doi.org/10.1098/rsta.2025.0110
Citations
1
Primary Topic
Digital Image Processing Techniques
Type
article
Field-Weighted Citation Impact
5.29
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article

Closed-form solutions for rigid transformations between heterogeneous groups of noisy geometric primitives

Hugo Hadfield
1 citations
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
Digital Image Processing Techniques
5.29
article

Closed-form solutions for rigid transformations between heterogeneous groups of noisy geometric primitives

Hugo Hadfield
article en
1 citations

Abstract

Computing the transformation between noisy collections of geometric primitives is a classic problem in three-dimensional computer vision and geometric computing. In this paper, we consider minimum sets of noisy objects and provide closed-form formulae to compute the Euclidean transformation that best transforms from one of these sets to another set. We enumerate these for all primitive object groups that appear in common three-dimensional computer vision problems and describe example applications. This article is part of the theme issue 'Modern applications of geometric algebra'.

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering SciencesVol. 384(2326)
Nvidia (United Kingdom) (GB), Nvidia (United States) (US)
Openalex Percentile: Top 3%
Digital Image Processing Techniques
5.29
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