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Camera Calibration and Stereo via a Single Image of a Spherical Mirror

Authors:
Nissim Barzilay
Ofek Narinsky
Michael Werman

Keywords: Computer Vision

Abstract:
This paper proposes a technique for camera calibration and depth estimation from a single view that incorporates a spherical mirror. By leveraging the sphere’s contour and reflections, the approach enables precise calibration and scene measurement while capturing additional environmental details beyond the direct image frame. The study explores the geometry and calibration of catadioptric stereo systems, addressing both challenges and practical applications. The paper delves into the intricacies of the geometry and calibration procedures involved in catadioptric stereo utilizing a spherical mirror. Experimental results with synthetic and real-world data demonstrate the method’s feasibility and accuracy.

Pages: 22 to 27

Copyright: Copyright (c) IARIA, 2025

Publication date: March 9, 2025

Published in: conference

ISSN: 2519-8432

ISBN: 978-1-68558-245-6

Location: Lisbon, Portugal

Dates: from March 9, 2025 to March 13, 2025