Error compensation of the multi-visual structured light 3D measurement system based on 3D point cloud for accuracy consistency

Abstract

Against the overall data layering problem caused by the different precision of each component in the multi-visual structured light measurement system, a compensation method based on spatial interpolation with an error library composed of 3D point clouds is proposed. First, the corresponding relationship between each monocular structured light system and the reference binocular structured light system is established by the unique code value, which is determined by the orthogonal coded fringe patterns projected by different systems. And an error library is constructed by comparing the measuring coordinate values of datum points in different measurement systems. Then an Inverse Distance Weighted method (IDW) based on the K-D tree neighborhood is proposed to complete the error compensation of measuring points in the measurement space, so as to improve the data quality of the whole system after complementary fusion. Different from the traditional error compensation method, this paper focuses on the multi-view structured light measurement system, from the point cloud data end for the measurement end compensation, to achieve the comprehensive compensation of complex error. Finally, experimental results show that the proposed method has outstanding effect and practicability.