Abstract
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.
Highlights
Structured light systems are widely used to generate 3D reconstructions of objects because they are accurate, non-contact, efficient, and can reconstruct the surface geometry at high temporal and spatial resolution
Some structured light systems use grayscale patterns which cannot be projected at high frame rates [6,7,8,9], while other systems are limited by using low-speed (< 100 Hz) projectors [10, 11]
By using a high-speed camera-projector system and a 1-bit light pattern, such as psuedo-random dots [12, 13] or psuedo-random intersecting lines [14], 3D reconstructions of deforming geometries can be achieved at any frame rate with sufficient lighting
Summary
Structured light systems are widely used to generate 3D reconstructions of objects because they are accurate, non-contact, efficient, and can reconstruct the surface geometry at high temporal and spatial resolution. The projector calibration step requires projecting a pre-determined pattern on the calibration target in multiple positions, which differ from the positions used to calibrate the camera [32,33,34,35,36,37] Whereas this temporal separation eliminates image processing issues that could be caused by spatially overlapping patterns, the separate calibration steps can cause errors to propagate. To automatically and accurately calibrate multi-camera-projector structured light systems for volumetric high-speed 3D surface reconstruction, we developed a new method. This method is based on an integrated calibration target, image acquisition procedure, and algorithmic solution. High accuracy is achieved by calibrating all camera and projector devices simultaneously using established calibration models This new technique can be combined with the single-shot monochrome 3D reconstruction method we recently developed [14]. We have established high-speed volumetric 3D reconstruction for rapidly deforming objects
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