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arXiv · 2607.14598

Hough-SIFT: Robust Image Registration for Linear Structures via Hough Space

Masaki Satoh
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Abstract

Image registration is essential in applications such as electronic image stabilization. Scale-Invariant Feature Transform (SIFT), a widely used local keypoint detector and descriptor, typically provides accurate registration; however, it often fails in scenes with strong linear structures (e.g., shutters), where local features become ambiguous. We propose Hough-SIFT, a robust registration method that performs SIFT descriptor matching in Hough space. In this domain, linear structures form distinctive peaks that restore descriptor discriminability. Experiments demonstrate that Hough-SIFT is robust in linear scenes where SIFT frequently fails, while maintaining accuracy comparable to SIFT in normal scenes.

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Masaki Satoh. 2026-07-16. Hough-SIFT: Robust Image Registration for Linear Structures via Hough Space. https://arxiv.org/abs/2607.14598

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