People move their eyes several times each second, to selectivelyanalyze visual information from specific locations. This is impor-tant, because analyzing the whole scene in foveal detail would re-quire a beachball-sized brain and thousands of additional caloriesper day. As artificial vision becomes more sophisticated, it mayface analogous constraints. Anticipating this, we previously devel-oped a robotic head with biologically realistic oculomotor capabil-ities. Here we present a system for accurately orienting the cam-eras toward a three-dimensional point. The robot’s cameras con-verge when looking at something nearby, so each camera shouldideally centre the same visual feature. At the end of a saccade,we combine priors with cross-correlation of the images from eachcamera to iteratively fine-tune their alignment, and we use the ori-entations to set focus distance. This system allows the robot toaccurately view a visual target with both eyes.
Visually guided vergence in a new stereo camera system
2018-12-24
Journal of Computational Vision and Imaging Systems; Vol 4 No 1 (2018): Special Issue: Proceedings of CVIS 2018; 3 ; 2562-0444 ; 10.15353/jcvis.v4i1
Article (Journal)
Electronic Resource
English
DDC: | 629 |
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