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Three-dimensional absolute shape measurement by combining binary statistical pattern matching with phase-shifting methods
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Citations
25
References
2017
Year
EngineeringMeasurementStatistical Shape AnalysisBiometricsMechanical EngineeringShape AnalysisComputer-aided DesignAbsolute PhaseStereo Geometric RelationshipDigital HolographyWrapped PhaseImage AnalysisStereo VisionCamera CalibrationComputational ImagingPhotometric StereoComputational PhotographyComputational GeometryGeometric ModelingMachine VisionBinary Statistical PatternMedical Image ComputingPhase RetrievalComputer VisionNatural SciencesStructured Light3D ScanningShape ModelingPhase-shifting Methods
This paper presents a novel method that leverages the stereo geometric relationship between projector and camera for absolute phase unwrapping on a standard one-projector and one-camera structured light system. Specifically, we use only one additional binary random image and the epipolar geometric constraint to generate a coarse correspondence map between projector and camera images. The coarse correspondence map is further refined by using the wrapped phase as a constraint. We then use the refined correspondence map to determine a fringe order for absolute phase unwrapping. Experimental results demonstrated the success of our proposed method.
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