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For example, due to the low angular resolution of current automultiscopic screens, they can only reproduce a shallow depth range. In this work, we study the motion parallax cue, which is a relatively strong depth cue, and can be freely reproduced even on a 2D screen without any limits. We exploit the fact that in many practical scenarios, motion parallax provides sufficiently strong depth information that the presence of binocular depth cues can be reduced through aggressive disparity compression. To assess the strength of the effect we conduct psycho-visual experiments that measure the influence of motion parallax on depth perception and relate it to the depth resulting from binocular disparity. Based on the measurements, we propose a joint disparity-parallax computational model that predicts apparent depth resulting from both cues. We demonstrate how this model can be applied in the context of stereo and multiscopic image processing, and propose new disparity manipulation techniques, which first quantify depth obtained from motion parallax, and then adjust binocular disparity information accordingly. This allows us to manipulate the disparity signal according to the strength of motion parallax to improve the overall depth reproduction. This technique is validated in additional experiments.<\/jats:p>","DOI":"10.1145\/2980179.2980230","type":"journal-article","created":{"date-parts":[[2016,11,11]],"date-time":"2016-11-11T17:02:54Z","timestamp":1478883774000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":27,"title":["Motion parallax in stereo 3D"],"prefix":"10.1145","volume":"35","author":[{"given":"Petr","family":"Kellnhofer","sequence":"first","affiliation":[{"name":"MPI Informatik"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Piotr","family":"Didyk","sequence":"additional","affiliation":[{"name":"MPI Informatik and Saarland University, MMCI"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tobias","family":"Ritschel","sequence":"additional","affiliation":[{"name":"MPI Informatik and Saarland University, MMCI and University College London"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Belen","family":"Masia","sequence":"additional","affiliation":[{"name":"MPI Informatik and Universidad de Zaragoza"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karol","family":"Myszkowski","sequence":"additional","affiliation":[{"name":"MPI Informatik"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hans-Peter","family":"Seidel","sequence":"additional","affiliation":[{"name":"MPI Informatik"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2016,12,5]]},"reference":[{"key":"e_1_2_2_1_1","unstructured":"Bista S. da Cunha \u00cd. L. L. and Varshney A. 2016. Kinetic depth images: Flexible generation of depth perception. The Visual Computer 1--13.  Bista S. da Cunha \u00cd. L. L. and Varshney A. 2016. Kinetic depth images: Flexible generation of depth perception. The Visual Computer 1--13."},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/0042-6989(96)00072-7"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(99)00015-2"},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.visres.2006.02.011"},{"key":"e_1_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.3758\/BF03204996"},{"key":"e_1_2_2_6_1","doi-asserted-by":"crossref","unstructured":"Brox T. Bruhn A. Papenberg N. and \n      Weickert J\n  . \n  2004\n  . High accuracy optical flow estimation based on a theory for warping. In European Conference on \n  Computer Vision (ECCV) vol. \n  3024\n   of \n  Lecture Notes in Computer Science 25--36.  Brox T. Bruhn A. Papenberg N. and Weickert J. 2004. 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