Anchor-Based Gravity Alignment for Panoramas

A crucial step for improving the usability of panoramas is the accurate alignment of the upright vector to match the direction of gravity. This paper introduces an anchor-based method for estimating the upright vector in panoramas. Our method, named AnchorsUp, combines the strengths of classification and regression by selecting a rough estimate of the upright vector from a predefined set of anchor vectors, followed by a fine-grained adjustment through regression to achieve precise alignment. We evaluate AnchorsUp on the SUN360 dataset and show superior performance compared to state-of-the-art methods, particularly for angular errors below 5 and 12 degrees, considered the most relevant in practical applications. The source code and dataset information are available at https://github.com/mabergmann/anchorsup.

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Publication Details

Published
2025-08-18
DOI
https://doi.org/10.1109/icip55913.2025.11084672
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
0.00

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article

Anchor-Based Gravity Alignment for Panoramas

Cláudio R. Jung, Matheus A. Bergmann, Thiago L. T. da Silveira, Rômulo Marconato Stringhini
Inertial Sensor and Navigation
article

Anchor-Based Gravity Alignment for Panoramas

Cláudio R. Jung, Matheus A. Bergmann, Thiago L. T. da Silveira, Rômulo Marconato Stringhini
article en

Abstract

A crucial step for improving the usability of panoramas is the accurate alignment of the upright vector to match the direction of gravity. This paper introduces an anchor-based method for estimating the upright vector in panoramas. Our method, named AnchorsUp, combines the strengths of classification and regression by selecting a rough estimate of the upright vector from a predefined set of anchor vectors, followed by a fine-grained adjustment through regression to achieve precise alignment. We evaluate AnchorsUp on the SUN360 dataset and show superior performance compared to state-of-the-art methods, particularly for angular errors below 5 and 12 degrees, considered the most relevant in practical applications. The source code and dataset information are available at https://github.com/mabergmann/anchorsup.

Universidade Federal do Rio Grande do Sul (BR), Universidade Federal de Santa Maria (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul
Sustainable cities and communities
Openalex Percentile: Top 71%
Inertial Sensor and Navigation
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Anchor-Based Gravity Alignment for Panoramas — Cláudio R. Jung, Matheus A. Bergmann, et al. · (2025) | TGRS Research Map | TGRS