Generic nonlinear error compensation algorithm for phase measuring profilometry
Yu Xin, Shanshan Lai, Yuankun Liu, Wenjing Chen, Junpeng Xue, Qican Zhang
Abstract
In this Letter, the periodical errors, which are caused by the nonlinear effect of the commercial projector and camera, are analyzed as a more generic single-coefficient model. The probability density function of the wrapped phase distributions is used as a tool to find the compensation coefficient. When the compensation coefficient is detected, on the premise of ensuring accuracy, a correlation algorithm process is used to replace the traditional iterative process. Therefore, the proposed algorithm improves the efficiency of coefficient detection dramatically. Both computer simulation and experiment show the effectiveness of this method.
Topics & Concepts
ProjectorCompensation (psychology)Computer scienceNonlinear systemProcess (computing)AlgorithmProfilometerFunction (biology)Correlation coefficientOpticsPhase (matter)Artificial intelligencePhysicsOperating systemPsychoanalysisMachine learningPsychologySurface roughnessBiologyEvolutionary biologyQuantum mechanicsOptical measurement and interference techniquesAdvanced Measurement and Metrology TechniquesAdvanced Measurement and Detection Methods