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 (parallax). 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.
A similar disparity can be used in rangefinding by a coincidence rangefinder to determine distance and/or altitude to a target. In astronomy, the disparity between different locations on the Earth can be used to determine various celestial parallax, and Earth's orbit can be used for stellar parallax.
Read more about Binocular Disparity: Definition, Tricking Neurons With 2D Images, Computing Disparity Using Digital Stereo Images, Uses of Disparity From Images, In Popular Culture
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“I find it a great and fatal difference whether I court the Muse, or the Muse courts me. That is the ugly disparity between age and youth.”
—Ralph Waldo Emerson (1803–1882)