• DocumentCode
    2326613
  • Title

    Analysis of color space and similarity measure impact on stereo block matching

  • Author

    Chang, Nelson Yen-Chung ; Tseng, Yu-Cheng ; Chang, Tian Sheuan

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chiao-Tung Univ., Hsinchu
  • fYear
    2008
  • fDate
    Nov. 30 2008-Dec. 3 2008
  • Firstpage
    926
  • Lastpage
    929
  • Abstract
    The impact of color space and similarity measure on complexity, speed, and performance of stereo matching is especially important to applications adopting stereo vision. This work analyzed the complexity of several most commonly considered color space and similarity measure. In addition, the execution speed and performance of color space and similarity measure combination are also compared on the same basis. The comparison result suggests that the Y-only rank provides the best combination under speed and performance trade-off.
  • Keywords
    computational complexity; computer vision; image colour analysis; image matching; stereo image processing; color space; similarity measure impact; stereo block matching; stereo vision; Extraterrestrial measurements; Image color analysis; Intelligent robots; Intelligent vehicles; Layout; Performance analysis; Pixel; Stereo vision; Time measurement; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4244-2341-5
  • Electronic_ISBN
    978-1-4244-2342-2
  • Type

    conf

  • DOI
    10.1109/APCCAS.2008.4746175
  • Filename
    4746175