Local disparity information is often sparse and noisy, which creates two conflicting demands
when estimating disparity in an image re (cid: 173) gion: the need to spatially average to get …

(in English) We describe a binocular vision system to emulate a disparity computation in the
primary visual cortex (V1). The system consists of two silicon retinas, simple cell chips, and …

The visual perception of depth is a striking ability of the human visual system and an active
part of research in fields like neurobiology, psychology, robotics, or computer vision. In real …

Many robotics and navigation systems utilizing stereopsis to determine depth have rigid size
and power constraints and require direct physical implementation of the stereo algorithm …

A quick estimation of depth is required by artificial vision systems for their self survival and
navigation through the environment. Following the selection strategy of biological vision …

Depth from binocular disparity relies on finding matching points in the images of the two
eyes. However, not all points have a corresponding match since some regions are visible to …

Depth is an important feature channel for natural vision organisms that helps in focusing
attention on important locations of the viewed scene. Artificial visual attention systems …

(in English) The disparity energy model can explain many physiological properties of
binocular cells in the early visual cortex. Although there are many physiologically-plausible …

Many animals, including humans, have substantial binocular overlap within their visual field.
In the binocular zone, each eye's viewpoint yields a slightly different image of the same part …

Disparity selective cells in V1 respond to the correlated receptive fields of the left and right
retinae, which do not necessarily correspond to the same object in the 3D scene, ie, these …