@article{Schneider_Sharma_Tripp_2018, title={Visually guided vergence in a new stereo camera system}, volume={4}, url={https://openjournals.uwaterloo.ca/index.php/vsl/article/view/344}, abstractNote={<p>People move their eyes several times each second, to selectively<br>analyze visual information from specific locations. This is impor-<br>tant, because analyzing the whole scene in foveal detail would re-<br>quire a beachball-sized brain and thousands of additional calories<br>per day. As artificial vision becomes more sophisticated, it may<br>face analogous constraints. Anticipating this, we previously devel-<br>oped a robotic head with biologically realistic oculomotor capabil-<br>ities. Here we present a system for accurately orienting the cam-<br>eras toward a three-dimensional point. The robot’s cameras con-<br>verge when looking at something nearby, so each camera should<br>ideally centre the same visual feature. At the end of a saccade,<br>we combine priors with cross-correlation of the images from each<br>camera to iteratively fine-tune their alignment, and we use the ori-<br>entations to set focus distance. This system allows the robot to<br>accurately view a visual target with both eyes.</p>}, number={1}, journal={Journal of Computational Vision and Imaging Systems}, author={Schneider, Adam and Sharma, Namrata and Tripp, Bryan}, year={2018}, month={Dec.}, pages={3} }