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Accuracy prediction in a 3D active triangulation scanner

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EN
An active triangulation 3D scanner was developed at the Budapest University of Technology and Economics, Departament of Automation. In the first part of this paper the configuration of 3D scanner system will be presented. Then the edge tracking part of model extraction algorithm will be described, especially focusing on the handing of noise. Accuracy of the generated CAD model depends of configuration parameters and the noise of the frame buffer image can be taken into consideration. The last part of the paper presents a workflow for the adequate handling of accuracy, as a function of a certain noise model. Since the development is focused on the accuracy of method instead of expensive hardware elements, it is essential to know the theoretical capabilities of the system. The focus of the paper is finding the initial point of edge tracking, the accuracy of angle calculation and the accuracy of line tracking supposing a noise model. Finally some experiment results are demonstrated.
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autor
  • Budapest University of Technology and Economics, Departament of Automation H-1111 Budapest, Goldmann Gy. ter 3. Hungary, kovi@graphidea.hu
Bibliografia
  • [1] Prékopa András: Probability Theory (Valószínűségelmélet, in Hungarian), Műszaki Könyvkiadó, 1974.
  • [2] Korn G. A., Korn T. M.: Mathematical Handbook for Technicians (Matematikai kézikönyv műszakiaknak, in Hungarian), Műszaki Könyvkiadó, 1975.
  • [3] Harry J. E.: Industrial Lasers and Applications (Ipari lézerek és alkalmazásuk, in Hungarian), Műszaki Könyvkiadó, 1979.
  • [4] Bronstein I. N., Szemengyajev K. A.: Mathematical Handbook for Engineers and University Students (Matematikai zsebkönyv mérnökök és mérnökhallgatók számára, in Hungarian), Műszaki Könyvkiadó, 1982.
  • [5] Yoshiaki Shirai: Three-Dimensional Computer Vision. S-V, 1987.
  • [6] Jorge L.C. Sanz: Advances in Machine Vision. S-V, 1989.
  • [7] Rioux M.: Applications of digital 3D imaging. Canadian Conf. on Electrical and Computer Engineering, 09.03-06., 37.3.1-37.3.10, 1990.
  • [8] Blais F., Rioux M., Domey J.: Optical range image acqisition for the navigation of a mobile robot. IEEE Int. Conf. on Robotics and Automation, 04.09-11, 2574-2580, 1991.
  • [9] Littlehales C., Rioux M.: White light magic, IRIS universe. The Magazine of Visual Computing, 18, Silicon Graphics Inc., 24-27, 1992.
  • [10] Kovács T.: Model Creation by Active Triangulation (Modellképzés aktív trianguláció útján, in Hungarian), diploma work in Hungarian, 1992.
  • [11] Wohlers T. T.: 3D digitizers. Computer Graphics World, 07, 73-77, 1992.
  • [12] Watt A., Watt M.: Advanced Animation and Rendering Techniques, Theory and Practice. Addison-Wesley, 1992.
  • [13] Davatzikos C., Prince J. L.: Adaptive active contour algorithms for extracting and mapping thick curves. IEEE CV&PR, 524-529, 1993.
  • [14] Chou K.-J., Schunck B. G.: Nonparametric algorithm for edge localization. IEEE CV&PR, 795-796, 1993.
  • [15] Margaliot M., Gotsman C.: Piecewise-linear surface approximation from noisy scattered samples. IEEE Visualisation Conf., 61-68, 1994.
  • [16] Beil W.: Line detection in discrete scale-space. 1st IEEE Int. Conf. on Image Processing, 1, 915-918, 1994.
  • [17] Kovács T.: Accuracy analysis of an edge following algorithm in noisy frame buffer. IEEE 2nd Asian Conf. on Computer Vision (Singapore), 1995.
  • [18] Kovács T.: Analysis and Implementation of an Edge Tracking Algorithm in Noisy Environment (Vonalkereso algoritmus vizsgálata, implementációja zajos környezetben, in Hungarian), Summary of the development, 2000.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0002-0004
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