Implementation and Optimization of Stereo Matching Algorithm on ARM Processors

  • Peter JankůEmail author
  • Roman Došek
  • Tomáš Dulík
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 348)


This paper analyses possibility of implementation of stereo matching algorithms on ARM based processors with special attention on the final algorithm performance. Semi global block matching and Block matching algorithms were chosen as a base of this research. First, the technologies used in the implementation are described, then the optimization approach is discussed. The main part of this paper deals with algorithms performance depending on the chosen optimization.


stereo matching computer vision OpenCV ARM 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Janku, P., Dosek, R., Jasek, R.: Obstacle detection for robotic systems using combination of ultrasonic sonars and infrared sensors. In: Silhavy, R., Senkerik, R., Oplatkova, Z.K., Silhavy, P., Prokopova, Z. (eds.) Modern Trends and Techniques in Computer Science. AISC, vol. 285, pp. 321–330. Springer, Heidelberg (2014)Google Scholar
  2. 2.
    Hamza, B., Abdelhakim, K., Brahim, C.: FPGA design of a real-time obstacle detection system using stereovision. In: 2012 24th International Conference on Microelectronics (ICM), pp. 1–4 (December 2012)Google Scholar
  3. 3.
    Schmid, K., Tomic, T., Ruess, F., Hirschmuller, H., Suppa, M.: Stereo vision based indoor/outdoor navigation for flying robots. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3955–3962 (November 2013)Google Scholar
  4. 4.
    Scharstein, D., Szeliski, R., Zabih, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. IEEE Computer Soc., Los Alamitos (2001) WOS:000173391800015.Google Scholar
  5. 5.
    Shekhar, T.C.D., Varaganti, K.: Parallelization of face detection engine. In: 2010 39th International Conference on Parallel Processing Workshops (ICPPW), pp. 113–117 (September 2010)Google Scholar
  6. 6.
    Wan, J., Wang, R., Lv, H., Zhang, L., Wang, W., Gu, C., Zheng, Q., Gao, W.: AVS video decoding acceleration on ARM cortex-a with NEON. In: 2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC), pp. 290–294 (August 2012)Google Scholar
  7. 7.
    Pujara, C., Modi, A., Sandeep, G., Inamdar, S., Kolavil, D., Tholath, V.: VC-1 video decoder optimization on ARM cortex-a8 with NEON. In: 2010 National Conference on Communications (NCC), pp. 1–5 (January 2010)Google Scholar
  8. 8.
    Culjak, I., Abram, D., Pribanic, T., Dzapo, H., Cifrek, M.: A brief introduction to OpenCV. In: 2012 Proceedings of the 35th International Convention MIPRO, pp. 1725–1730 (May 2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Faculty of applied informaticsTomas Bata University in ZlinZlínCzech republic

Personalised recommendations