Stereopsis

Results: 213



#Item
41INVITED PAPER Three-Dimensional Video Postproduction and Processing Components and processes in the 3-D content creation workflow and

INVITED PAPER Three-Dimensional Video Postproduction and Processing Components and processes in the 3-D content creation workflow and

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Source URL: www.ahornung.net

Language: English - Date: 2014-11-19 12:48:55
42Vision Research – 3506 www.elsevier.com/locate/visres Depth cue integration: stereopsis and image blur George Mather *, David R.R. Smith Laboratory of Experimental Psychology, Biology School, Uni6ersity

Vision Research – 3506 www.elsevier.com/locate/visres Depth cue integration: stereopsis and image blur George Mather *, David R.R. Smith Laboratory of Experimental Psychology, Biology School, Uni6ersity

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Source URL: www.georgemather.com

Language: English - Date: 2013-05-14 10:28:17
43Vision Research – 3516 www.elsevier.com/locate/visres Perceived speed of motion in depth is reduced in the periphery K. Brooks *, G. Mather Experimental Psychology, Biology School, Uni6ersity of Sussex,

Vision Research – 3516 www.elsevier.com/locate/visres Perceived speed of motion in depth is reduced in the periphery K. Brooks *, G. Mather Experimental Psychology, Biology School, Uni6ersity of Sussex,

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Source URL: www.georgemather.com

Language: English - Date: 2013-05-14 10:23:07
44Vision Research–562 www.elsevier.com/locate/visres Combining depth cues: effects upon accuracy and speed of performance in a depth-ordering task George Mather *, David R.R. Smith

Vision Research–562 www.elsevier.com/locate/visres Combining depth cues: effects upon accuracy and speed of performance in a depth-ordering task George Mather *, David R.R. Smith

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Source URL: www.georgemather.com

Language: English - Date: 2013-05-14 10:25:36
45Moving Obstacle Detection in Highly Dynamic Scenes A. Ess1 , B. Leibe2 , K. Schindler1,3 , L. van Gool1,4 1 Computer Vision Laboratory, ETH Zurich, Switzerland

Moving Obstacle Detection in Highly Dynamic Scenes A. Ess1 , B. Leibe2 , K. Schindler1,3 , L. van Gool1,4 1 Computer Vision Laboratory, ETH Zurich, Switzerland

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Source URL: europa.informatik.uni-freiburg.de

Language: English - Date: 2009-04-23 06:44:22
46Memory Efficient Stereoscopy from Light Fields

Memory Efficient Stereoscopy from Light Fields

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Source URL: graphics.ethz.ch

Language: English - Date: 2016-03-11 20:09:30
47arXiv:1312.3429v2 [cs.CV] 16 DecUnsupervised learning of depth and motion Kishore Konda Goethe University Frankfurt Germany

arXiv:1312.3429v2 [cs.CV] 16 DecUnsupervised learning of depth and motion Kishore Konda Goethe University Frankfurt Germany

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Source URL: arxiv.org

Language: English - Date: 2013-12-16 20:39:51
48A Stereo Display Prototype with Multiple Focal Distances Kurt Akeley∗ Simon J. Watt†  Ahna Reza Girshick†

A Stereo Display Prototype with Multiple Focal Distances Kurt Akeley∗ Simon J. Watt† Ahna Reza Girshick†

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Source URL: bankslab.berkeley.edu

Language: English - Date: 2013-08-23 14:43:30
49PII: 90088-E

PII: 90088-E

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Source URL: www.ircs.upenn.edu

Language: English - Date: 2015-06-29 12:24:48
50Microsoft Word - Binocular review - manuscript.docx

Microsoft Word - Binocular review - manuscript.docx

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Source URL: smc.neuralcorrelate.com

Language: English - Date: 2016-01-16 23:04:29