Open AccessAutomated calibration of multi-camera-projector structured light systems for volumetric high-speed 3D surface reconstructions
Author(s) -
Marc E. Deetjen,
David Lentink
Publication year - 2018
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.26.033278
Subject(s) - bundle adjustment , projector , structured light , calibration , computer science , computer vision , camera resectioning , artificial intelligence , 3d reconstruction , structured light 3d scanner , optics , volume (thermodynamics) , planar , computer graphics (images) , physics , photogrammetry , scanner , quantum mechanics
It is challenging to calibrate multiple camera-projector pairs for multi-view 3D surface reconstruction based on structured light. Here, we present a new automated calibration method for high-speed multi-camera-projector systems. The method uses printed and projected dot patterns on a planar calibration target, which is moved by hand in the calibration volume. Calibration is enabled by automated image processing and bundle-adjusted parameter optimization. We determined the performance of our method by 3D reconstructing a sphere. The accuracy is -0.03 ± 0.09 % as a percentage of the diameter of the calibration volume. Applications include quality control, autonomous systems, engineering measurements, and motion capture, such as the preliminary 3D reconstruction of a bird in flight we present here.