PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Disparity compute methods in three - dimensional scene reconstruction for overhead travelling crane work space visualization

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The problem of ensuring the safe and efficient cranes operations in automated manufacturing processes involves the needs of the operating workspace identification, especially in the automation mode. However, this paper describes the problem of overhead travelling crane's workspace identification with the stereovision. Main authors’ attention was focused on the stereo pictures matching problem through optimization exist disparity computation methods with algorithms optimization by completion with implement correlation matching algorithms. The stereo system is based on the single camera localized under the crane trolley that allows obtaining the sequences of stereo snapshots of crane workspace during the crane or trolley movement. Typically, disparity was produce by calculating the displacement of each pixel of the stereo image along an epipolar line. The disparity software optimization was based on matching algorithms architecture. In this article, the disparity optimization procedure achieved by produce disparity on the ROI (Region of Interest) method is described. Disparity was obtained with the help of sets homologous pixels collections. These sets were determinate with variety kind of similarity measures, which was implemented to disparity search algorithm. Each disparity map (based on the separate similarity measure) was tested under outward appearance and computing time criteria.
Twórcy
autor
autor
  • AGH University of Science and Technology Faculty of Mechanical Engineering Mickiewicza Av. 30, 30-059 Krakow, Poland tel.: + 48 12 6173103, + 48 12 6173104, fax: + 48 12 6173531, szpytko@agh.edu.pl
Bibliografia
  • [1] Azzari, P., Reconstruction from image correspondences, Universit´a di Bologna, PhD. Thesis, December 2008.
  • [2] Brewer, N., Liu, N., Wang, L., Stereo disparity calculation in real-world scenes with Informative Image Partitioning, 25th International Conference of Image and Vision Computing New Zealand (IVCNZ), pp. 1-8, 2010.
  • [3] Cramer, M., Digital camera calibration, European Spatial Data Research, Dublin 2009.
  • [4] Dubois, E., A projection method to generate anaglyph stereo images, IEEE Proceedings of International Conference on Acoustics, Speech and Signal Processing ICASSP'01, Vol. 3, pp. 1661-1664, 2001.
  • [5] Georgoulas, Ch., Andreadis, I., FPGA based disparity map computation with vergence control, Microprocessors and Microsystems, Article in Press, 15, 2010.
  • [6] Karge, A., Implementation and test of area based correlation detection algorithms, Department of Informatics and Engineering Science, University of Applied Science Cologne, pp. 1-29, Cologne 2003.
  • [7] Kytö, M., Nuutinen, M., Oittinen, P., Method for measuring stereo camera depth accuracy based on stereoscopic vision, Proc. SPIE 7864, pp. 1-9, 2011.
  • [8] Lowe, D. G., Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, pp. 1-28, 2004.
  • [9] Mandai, S., Shi, B., Dudek, P., Binocular disparity calculation on a massively-parallel analog vision processor, 12th International Workshop on Cellular Nanoscale Networks and Their Applications CNNA, pp. 1-5, 2010.
  • [10] Mühlmann, K., Maier, D., Hesser, J., Männer, R., Calculating dense disparity maps from color stereo images, an efficient implementation, International Journal of Computer Vision, Vol. 47(1/2/3), pp. 79–88, 2002.
  • [11] Ogale, A. S., Aloimonos, Y., A Roadmap to the integration of early visual modules, Int. J. Comput. Vision, Vol. 72, Is. 1, pp. 9-25, 2007.
  • [12] Rieck, K., Laskov, P., Sonnenburg, S., Computation of similarity measures for sequential data using generalized suffix trees, In Proceedings of NIPS, pp. 1177-1184, 2006.
  • [13] Rzeszotarski, D, Sawicki, P., Ostrowski B., Prototypowy system stereowizyjny typu machine vision – Działanie i dokładność, Archiwum Fotogrametrii, Kartografii i Teledetekcji, Vol. 17b, s. 717-727, 2007.
  • [14] Rzeszotarski, D., Strumiłło, P., Pełczynski, P., Wiecek, B., Lorenc, A., System obrazowania stereoskopowego sekwencji scen trójwymiarowych, Elektronika, prace naukowe, Nr 10, s. 165-184, 2005.
  • [15] Storch, B., Wierucka, I., Optyczne pomiary zarysów powtarzalnych z wykorzystaniem technik przetwarzania obrazu, Acta Mechanica et Automatica, Vol. 1, No. 2, s. 59-62, 2007.
  • [16] Szpytko, J., Hyla, P., Gbyl, M., Sterowanie dźwignicą przy pomocy gestów z użyciem hybrydowego urządzenia wejścia z trójwymiarowym układem odniesienia, Logistyka, Nr 6, s. 3657-3669, 2011.
  • [17] Szpytko, J., Hyla, P., Miary podobieństwa w wyznaczaniu dysparycji obrazu stereowizyjnego, Logistyka, Nr 3, s. 2217-2226, 2012.
  • [18] Szpytko, J., Hyla, P., Odwzorowanie przestrzeni roboczej środka transportu technologicznego z użyciem układu wizyjnego, Czasopismo Techniczne, T. II, Z. 7, s. 505-514, Wydawnictwo Politechniki Krakowskiej, Kraków 2011.
  • [19] Szpytko, J., Hyla, P., Stereovision 3D type workspace mapping system architecture for transport devices, Journal of KONES Powertrain and Transport, Vol. 17, No. 4, pp. 495-504, Warsaw 2010.
  • [20] Szpytko, J., Hyla, P., Work space supervising for material handling devices with machine vision assistance, Journal of KONBiN, Safety and Reliability Systems, No. 3-4, pp. 7-16, Warsaw 2009.
  • [21] Watman, C. Austin, D. Barnes, N. Overett, G., Thompson, S., Fast sum of absolute differences visual landmark detector, Proceedings of International Conference on Robotics and Automation, ICRA '04, Vol. 5, pp. 4827-4832, April-May 2004.
  • [22] Yang, Q., Wang, L., Yang, R., Stewenius, H., Nister, D., Stereo matching with colorweighted correlation, hierarchical belief propagation and occlusion handling, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 3, pp. 1-13, 2009.
  • [23] Yong, Y. S., Hon, H. W., Disparity estimation for objects of interest, World Academy of Science, Engineering and Technology, Vol. 43, pp. 536-539, 2008.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ8-0019-0053
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.