Traditional 2D image-based saliency prediction models suffer from unsatisfactory
performance when dealing with stereoscopic 3D (S3D) images because eye movements in …

Numerous studies suggest that the visual system uses both phase-and position-shift
receptive field (RF) mechanisms for the processing of binocular disparity. Although the …

To achieve stereoscopic vision, the brain must search for corresponding image features on
the two retinas. As long as the eyes stay still, corresponding features are confined to narrow …

A theory is presented that explains how the visual system infers the lightness, opacity, and
depth of surfaces from stereoscopic images. It is shown that the polarity and magnitude of …

In this paper, we propose a novel deep learning-based visual comfort assessment (VCA) for
stereoscopic images. To assess the overall degree of visual discomfort in stereoscopic …

The computation of horizontal binocular disparities used in stereoscopic depth perception
depends upon the identification of corresponding features in the two retinal images. In …

Left and right retinal images of an object seen by the 2 eyes can occupy slightly disparate
horizontal and/or vertical locations. The role of horizontal disparity (HD) in stereoscopic …

It has been known since the time of Helmholtz that vertical differences between the two
retinal images can generate depth perception. Although many ecologically and …

An object moving in depth produces retinal images that change in position over time by
different amounts in the two eyes. This allows stereoscopic perception of motion in depth to …

Stereo depth perception depends on the fact that objects project to different positions in the
two eyes. Because our eyes are offset horizontally, these retinal disparities are mainly …