Biological vision system extracts depth from the difference in the left and right eye images.
Numerous algorithms and their hardware implementations that compute disparity in real …

Stereopsis or depth perception is a critical aspect of information processing in the brain and
is computed from the positional shift or disparity between the images seen by the two eyes …

Stereopsis or depth perception is a critical aspect of information processing in the brain and
is computed from the positional shift or disparity between the images seen by the two eyes …

Depth information using the biological Disparity Energy Model can be obtained by using a
population of complex cells. This model explicitly involves cell parameters like their spatial …

Depth perception starts with the binocular interaction receptive fields of simple cells
modeled by two Gabor functions followed by a half-squaring function. Simple cells do not …

The visual cortex is able to extract disparity information through the use of binocular cells.
This process is reflected by the Disparity Energy Model, which describes the role and …

This work describes an approach inspired by the primary visual cortex using the stimulus
response of the receptive field profiles of binocular cells for disparity computation. Using the …

Human feels three-dimensional effect for static image with the cues of various kinds of image
features such as relative sizes of objects, up and down, rules of perspective, texture …

We implement a binocular vision system based on a disparity-energy model that emulates
the hierarchical multi-layered neural structure in the primary visual cortex. Layer 1 performs …

The visual system is able to extract depth information from the disparity of the two images on
the retinae. Every system that makes use of disparity information must identify corresponding …