Abstract
Three-dimensional (3D) reconstruction and measurement are popular techniques in precision manufacturing processes. In this manuscript, a single image 3D reconstruction method is proposed based on a novel monocular vision system, which includes a three-level charge coupled device (3-CCD) camera and a ring structured multi-color light emitting diode (LED) illumination. Firstly, a procedure for the calibration of the illumination’s parameters, including LEDs’ mounted angles, distribution density and incident angles, is proposed. Secondly, the incident light information, the color distribution information and gray level information are extracted from the acquired image, and the 3D reconstruction model is built based on the camera imaging model. Thirdly, the surface height information of the detected object within the field of view is computed based on the built model. The proposed method aims at solving the uncertainty and the slow convergence issues arising in 3D surface topography reconstruction using current shape-from-shading (SFS) methods. Three-dimensional reconstruction experimental tests are carried out on convex, concave, angular surfaces and on a mobile subscriber identification module (SIM) card slot, showing relative errors less than 3.6%, respectively. Advantages of the proposed method include a reduced time for 3D surface reconstruction compared to other methods, demonstrating good suitability of the proposed method in reconstructing surface 3D morphology.
Highlights
Reconstructing three-dimensional (3D) surface morphology can help to quantify product surface quality information, characterize the product defects in manufacturing process and analyze the defects distribution
Acoustic detection methods [11,12,13] and magnetic nanoparticle-based detection methods [14] belong to non-contact approaches, which have been extensively used in manufacturing processes [13,14]
This paper aims at developing a quick 3D reconstruction method based on a monocular vision system, in which ring structured light emitting diode (LED) illumination is used to project the object’s 3D information into the image and only one image is required to realize the 3D measurement process
Summary
Reconstructing three-dimensional (3D) surface morphology can help to quantify product surface quality information, characterize the product defects in manufacturing process and analyze the defects distribution. Acoustic detection methods [11,12,13] and magnetic nanoparticle-based detection methods [14] belong to non-contact approaches, which have been extensively used in manufacturing processes [13,14] Such methods are characterized by a high detection speed while the measurement accuracy is affected by the response time and active signal source. This paper aims at developing a quick 3D reconstruction method based on a monocular vision system, in which ring structured light emitting diode (LED) illumination is used to project the object’s 3D information into the image and only one image is required to realize the 3D measurement process.
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