Camera-mirror calibration using the virtual rearview camera model

Flat mirrors are useful for capturing images of objects from multiple viewpoints with a single camera. However, for measurement applications, a point on the mirror plane, its normal vector, and the camera parameters need to be estimated. In this paper, we present a camera-mirror calibration method based on the virtual rear-view camera model. The proposed calibration method does not require visible reference markers attached to the mirror surface, preventing contact damage. The theoretical principles are reviewed, and simple reflection-based formulas are derived. A camera-mirror setup was calibrated for experimental validation. The results confirm the effectiveness of the proposed method in calibrating imaging systems that incorporate mirrors.

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Publication Details

Published
2025-09-16
DOI
https://doi.org/10.1117/12.3065131
Primary Topic
Advanced Vision and Imaging
Type
article
Field-Weighted Citation Impact
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article

Camera-mirror calibration using the virtual rearview camera model

Sofia Esquivel-Hernandez, Víctor H. Diaz-Ramirez, Martin Gonzalez-Ruiz, Rigoberto Juarez-Salazar
Advanced Vision and Imaging
article

Camera-mirror calibration using the virtual rearview camera model

Sofia Esquivel-Hernandez, Víctor H. Diaz-Ramirez, Martin Gonzalez-Ruiz, Rigoberto Juarez-Salazar
article en

Abstract

Flat mirrors are useful for capturing images of objects from multiple viewpoints with a single camera. However, for measurement applications, a point on the mirror plane, its normal vector, and the camera parameters need to be estimated. In this paper, we present a camera-mirror calibration method based on the virtual rear-view camera model. The proposed calibration method does not require visible reference markers attached to the mirror surface, preventing contact damage. The theoretical principles are reviewed, and simple reflection-based formulas are derived. A camera-mirror setup was calibrated for experimental validation. The results confirm the effectiveness of the proposed method in calibrating imaging systems that incorporate mirrors.

Openalex Percentile: Top 75%
Advanced Vision and Imaging
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