• DocumentCode
    2472028
  • Title

    Relative advantage of touch over vision in the exploration of texture

  • Author

    Bai, Yoon Ho ; Park, Choonseog ; Choe, Yoonsuck

  • Author_Institution
    Dept. of Comput. Sci., Texas A&M Univ., Austin, TX, USA
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Texture segmentation is an effortless process in scene analysis, yet its mechanisms have not been sufficiently understood. A common assumption in most current approaches is that texture segmentation is a vision problem. However, considering that texture is basically a surface property, this assumption can at times be misleading. One interesting possibility is that texture may be more intimately related with touch than with vision. Recent neurophysiological findings showed that receptive fields for touch resemble that of vision, albeit with some subtle differences. To leverage on this, we tested how such distinct properties in tactile receptive fields can affect texture segmentation performance, as compared to that of visual receptive fields. Our main results suggest that touch has an advantage over vision in texture processing. We expect our findings to shed new light on the role of tactile perception of texture and its interaction with vision, and help develop more powerful, biologically inspired texture segmentation algorithms.
  • Keywords
    computer vision; image segmentation; image texture; biologically inspired texture segmentation algorithms; neurophysiological findings; scene analysis; surface property; tactile receptive fields; texture segmentation; vision problem; Computer science; Gabor filters; Humans; Image analysis; Image segmentation; Layout; Radio frequency; Surface texture; Testing; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4760961
  • Filename
    4760961