IEEE Transactions on Robotics and Automation · 2003 · 96 citations · 18 references
EngineeringCalibration TechniqueAutomatic RecalibrationImage AnalysisCalibrationPattern ProjectionCamera CalibrationPhotometric StereoComputational PhotographyGeometric ModelingMachine VisionOphthalmologyCalibration DeviceRange ImagingComputer Vision3D VisionNatural SciencesStructured LightMulti-view Geometry
Structured light vision systems enable robust 3D reconstruction, yet their calibration is a major challenge that usually requires specialized devices or prior motion knowledge. The paper proposes an automatic recalibration method for two‑degree‑of‑freedom structured light systems that adapts to changes in camera‑projector pose. The approach uses several cues extracted from the projected patterns to automatically recalibrate a two‑degree‑of‑freedom structured light system. Sensitivity analysis and experiments demonstrate that the method achieves high‑accuracy depth values.
A structured light vision system using pattern projection is useful for robust reconstruction of three-dimensional objects. One of the major tasks in using such a system is the calibration of the sensing system. This paper presents a new method by which a two-degree-of-freedom structured light system can be automatically recalibrated, if and when the relative pose between the camera and the projector is changed. A distinct advantage of this method is that neither an accurately designed calibration device nor the prior knowledge of the motion of the camera or the scene is required. Several important cues for self-recalibration are explored. The sensitivity analysis shows that high accuracy in-depth value can be achieved with this calibration method. Some experimental results are presented to demonstrate the calibration technique.
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Sing Bing Kang · 2002 · 166 citations
J.-Y. Bouguet, Pietro Perona · 2002 · 161 citations
Geometric Modeling, Illumination Modeling, Machine Vision +14