Abstract
Three-dimensional measurement with fringe projection sensor has been commonly researched. However, the measurement accuracy and efficiency of most fringe projection sensors are still seriously affected by image saturation and the non-linear effects of the projector. In order to solve the challenge, in conjunction with the advantages of stereo vision technology and fringe projection technology, an adaptive binocular fringe dynamic projection method is proposed. The proposed method can avoid image saturation by adaptively adjusting the projection intensity. Firstly, the flowchart of the proposed method is explained. Then, an adaptive optimal projection intensity method based on multi-threshold segmentation is introduced to adjust the projection illumination. Finally, the mapping relationship of binocular saturation point and projection point is established by binocular transformation and left camera–projector mapping. Experiments demonstrate that the proposed method can achieve higher accuracy for high dynamic range measurement.
Highlights
Due to the advantages of high speed, high accuracy, and full light field, fringe projection profilometry (FPP) based on structured light sensor [1,2,3] has become the most promising three-dimensional (3D) data acquisition technique in many fields, such as quality control [4,5,6], reverse engineering [7,8], and others [9,10,11]
In order to improve the projection efficiency and reduce the influence of image saturation and gamma non-linear effect, combining with the advantages of binocular vision and monocular fringe projection, we propose an adaptive binocular fringe dynamic projection method by adjusting adaptively the pixel-to-pixel projection intensity
Compared with the other three methods, the adaptive binocular fringe dynamic projection method (ABFDP) method proposed in this paper effectively reduces the impact of high dynamic range (HDR) reflections, and the measurement results are closer to the actual value for the three cylinders
Summary
Due to the advantages of high speed, high accuracy, and full light field, fringe projection profilometry (FPP) based on structured light sensor [1,2,3] has become the most promising three-dimensional (3D) data acquisition technique in many fields, such as quality control [4,5,6], reverse engineering [7,8], and others [9,10,11]. The system of fringe projection profilometry consists of one camera and one projector. There are three steps to obtain the 3D data of the object measured by FPP. The designed fringe patterns are projected onto the surface of measured object one by one and the deformed fringes are captured by the camera simultaneously. The 3D point cloud of the measured object can be reconstructed accurately with the calibrated parameters of the system [1,2,3]
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