Non-Overlapping Multi-Camera Calibration Dataset using Icosahedron and Cube Calibration Object

<p>Our dataset comprises images captured using two 3D calibration objects: an icosahedron and a cube. Six 20MP monochrome cameras were arranged in a semicircular configuration with minimal overlapping fields of view. A consistent robotic motion pattern was employed to acquire sequential images for both calibration objects.</p> <p>This work is conducted at the Institute for Factory Automation and Production Systems(<a href="https://www.faps.fau.eu/">FAPS</a>), University of Erlangen-Nuremberg, Germany.</p>