Determining image distortion and PBS (point of best symmetry) in digital images using straight line matrices |
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| Affiliation: | 1. Department of Cartographic Engineering, Geodesy and Photogrammetry, School of Civil Engineering (UPV), 46022 Valencia, Spain;2. Department of Graphic Expression in Architecture, School of Architecture (UPV), 46022 Valencia, Spain;3. Polytechnic High School of Lugo, University of Santiago de Compostela, 27002 Lugo, Spain;1. School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China;2. School of Automation, Nanjing Institute of Technology, Nanjing 211167, China;1. Jagiellonian University Medical College, Faculty of Medicine, Dental Institute, Department of Dental Prosthodontics, ul. Montelupich 4, 31-155 Cracow, Poland;2. AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Department of Machine Design and Technology, Al. Mickiewicz 30, 30-059 Cracow, Poland;1. University of Belgrade, Technical Faculty in Bor, V.J. 12, 19210 Bor, Serbia;2. DIMES, University of Calabria, Via Pietro Bucci cube 44, 87036 Rende (CS), Italy |
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| Abstract: | It is impossible to take accurate measurements in photogrammetry without first removing the distortion in images. This paper presents a methodology for correcting radial and tangential distortion and for determining the PBS (Point of Best Symmetry) without knowledge of the interior orientation parameters (IOPs). An analytical plumb-line calibration method is used, measuring only the coordinates of points on straight lines, regardless of the position and direction of these lines within the image. Points belonging to multiple lines can also be used since the effects on their X and Y coordinates are calculated independently. The results obtained on an image of a common scene, taken with a handheld non-metric camera, show a high degree of accuracy even with a minimum number of observables. And its application on a calibrated grid for engineering purposes with a semi-metric camera, results optimal even using a single image. |
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| Keywords: | Image processing Image analysis Camera calibration Plumb-lines Distortion |
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