11 Facts About Binocular disparity

Binocular disparity refers to the difference in image location of an object seen by the left and right eyes, resulting from the eyes' horizontal separation.

The brain uses binocular disparity to extract depth information from the two-dimensional retinal images in stereopsis.

In computer vision, binocular disparity refers to the difference in coordinates of similar features within two stereo images.

The binocular disparity can be observed from apparent horizontal shift of the vertical edge between both views.

Visual binocular disparity is defined as the difference between the point of projection in the two eyes and is usually expressed in degrees as the visual angle.

The Binocular disparity of the images on the actual retina depends on factors internal to the eye, especially the location of the nodal points, even if the cross section of the retina is a perfect circle.

Disparity on retina conforms to binocular disparity when measured as degrees, while much different if measured as distance due to the complicated structure inside eye.

In computer vision, binocular disparity is calculated from stereo images taken from a set of stereo cameras.

However, in computer vision, binocular disparity is referenced as coordinate differences of the point between the right and left images instead of a visual angle.

Knowledge of Binocular disparity can be used in further extraction of information from stereo images.

The rover captures a pair of images with its stereoscopic navigation cameras and Binocular disparity calculations are performed in order to detect elevated objects.