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.
|Number of pages||4|
|Journal||Proceedings - International Conference on Pattern Recognition|
|Publication status||Published - 2000|
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition