Epipolar rectification method for a stereovision system with telecentric cameras |
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| Institution: | 1. Shandong Provincial Key Laboratory of Laser Technology and Application, School of Information Science and Engineering, Shandong University, Qingdao 266237, China;2. National Engineering Research Center For E-learning, Central China Normal University, Wuhan 430079, China;3. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, Australia;1. School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China;2. Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing Institute of Technology, Beijing 100081, China;3. China Institute of Marine Technology and Economy, Beijing 100081, China;1. Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA;2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China;2. School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China |
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| Abstract: | 3D metrology of a stereovision system requires epipolar rectification to be performed before dense stereo matching. In this study, we propose an epipolar rectification method for a stereovision system with two telecentric lens-based cameras. Given the orthographic projection matrices of each camera, the new projection matrices are computed by determining the new camera coordinates system in affine space and imposing some constraints on the intrinsic parameters. Then, the transformation that maps the old image planes on to the new image planes is achieved. Experiments are performed to validate the performance of the proposed rectification method. The test results show that the perpendicular distance and 3D reconstructed deviation obtained from the rectified images is not significantly higher than the corresponding values obtained from the original images. Considering the roughness of the extracted corner points and calibrated camera parameters, we can conclude that the proposed method can provide sufficiently accurate rectification results. |
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| Keywords: | Stereovision Optical metrology Rectification Epipolar geometry Orthographic projection |
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