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This lecture examines the perception of depth and the process of stereopsis, which allows us to perceive depth using binocular vision. Topics covered include visual cues to depth such as occlusion and texture gradients, the definition and evidence for stereopsis, the role of retinal disparity, stereoacuity, and models for solving the correspondence problem.
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Advances in Visual Perception PSYC 526 Fall Profs. Fred Kingdom & Kathy Mullen
Lecture 8 “Seeing Depth” Reading Goldstein 5th ed., Chs. 8 & 9; 6th ed. Ch. 7 & 9 (p302-307); 7th ed. Ch. 8. Frisby, "Seeing with two eyes" Ch 7 in Seeing. Oxford University Press (1979).
Seeing Depth Part ICues to depth Part IIStereopsis
Occlusion/Interposition Object size Position in field of view Cues to depth Texture gradients Linear perspective Shading
Atmospheric: Blueing with distance Occlusion/Interposition
Part II.Stereopsis - Definition - Evidence for modularity - Retinal disparity - Horopters - Stereoacuity - Stereoscopes and anaglyphs - Form-from-stereopsis - Correspondence problem - Autostereograms
definition……….. Stereopsis is the means by which we determine the relative depth of objects by virtue of the fact that our two eyes view the world from a slightly different angle.
Evidence for modularity Phenomenonological irreducibility Stereoblindness Disparity-sensitive neurones Depth after-effect
Retinal disparity
more definitions……. Retinal disparity is the difference in angle subtended by the image of an object in the two eyes, relative to fixation. Stereoacuity is the minimal detectable stereoscopic depth in units of disparity. Normal = 5-15 secs of arc; best is 2 secs.
Random-dot stereogram Figural stereogram
Random-dot stereogram Figural stereogram
Form from stereopsis Figural stereogram Random-dot-stereogram
‘False-target’ or stereo-correspondence problem
Marr & Poggio’s cooperative network model for solving the stereo-correspondence problem
Input stereogram Zero-crossing maps Coarse- filtered Marr & Poggio’s ‘coarse-to-fine’ filtering model for solving the stereo-correspondence problem Medium- filtered Fine- filtered