Automatic Calibration of a Multi-Camera System with Limited Overlapping Fields of View for 3D Surgical Scene Reconstruction
Tim Fl\"uckiger, Jonas Hein, Valery Fischer, Philipp F\"urnstahl, Lilian Calvet

TL;DR
This paper presents a fully automatic, robust camera calibration method for multi-camera 3D surgical scene reconstruction that overcomes limited overlapping views using multi-scale markers projected from a ceiling-mounted projector.
Contribution
A novel, fast, and fully automatic calibration technique utilizing multi-scale markers projected onto the scene, effective even with significant zoom and viewpoint variations.
Findings
Achieves accuracy comparable to manual calibration methods.
Demonstrates higher robustness under varying zoom levels.
Outperforms traditional markerless calibration approaches.
Abstract
The purpose of this study is to develop an automated and accurate external camera calibration method for multi-camera systems used in 3D surgical scene reconstruction (3D-SSR), eliminating the need for operator intervention or specialized expertise. The method specifically addresses the problem of limited overlapping fields of view caused by significant variations in optical zoom levels and camera locations. We contribute a novel, fast, and fully automatic calibration method based on the projection of multi-scale markers (MSMs) using a ceiling-mounted projector. MSMs consist of 2D patterns projected at varying scales, ensuring accurate extraction of well distributed point correspondences across significantly different viewpoints and zoom levels. Validation is performed using both synthetic and real data captured in a mock-up OR, with comparisons to traditional manual marker-based…
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Taxonomy
Topics3D Surveying and Cultural Heritage · 3D Shape Modeling and Analysis · Satellite Image Processing and Photogrammetry
