Dynamic Vergence Using Disparity Flux

  • Authors:

  • Hee-Jeong Kim;Myung-Hyun Yoo;Seong-Whan Lee

  • Affiliations:

  • -;-;-

  • Venue:
  • BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
  • Year:
  • 2000

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Abstract

Vergence movement enables human and vertebrates, having stereo vision, to perceive the depth of an interesting visual target fixated by both left and right eyes. To simulate this on a binocular robotic camera head, we propose a new control model for vergence movement using disparity flux. Experimental results showed that this model is efficient in controlling vergence movement in various environments. When the perception-action cycle is short enough to approach to the real-time frame rate, the precision of disparity flux increases, and then a more accurate control of vergence movements on the stereo robotic head is possible.