2016
DOI: 10.1007/s41095-016-0038-4
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3D modeling and motion parallax for improved videoconferencing

Abstract: We consider a face-to-face videoconferencing system that uses a Kinect camera at each end of the link for 3D modeling and an ordinary 2D display for output. The Kinect camera allows a 3D model of each participant to be transmitted; the (assumed static) background is sent separately. Furthermore, the Kinect tracks the receiver's head, allowing our system to render a view of the sender depending on the receiver's viewpoint. The resulting motion parallax gives the receivers a strong impression of 3D viewing as th… Show more

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Cited by 9 publications
(4 citation statements)
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References 25 publications
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“…Multiple viewpoint video (MVV) inpainting has received little attention. Literature addresses only the narrow baseline case, typically that of stereo pairs [16,25,32,34,35,40]. Given the small extent of the area to be filled, approaches approximate missing content by extrapolating adjacent colourdepth information and performing patch matching over the extrapolated pixels.…”
Section: R E L At E D W O R Kmentioning
confidence: 99%
“…Multiple viewpoint video (MVV) inpainting has received little attention. Literature addresses only the narrow baseline case, typically that of stereo pairs [16,25,32,34,35,40]. Given the small extent of the area to be filled, approaches approximate missing content by extrapolating adjacent colourdepth information and performing patch matching over the extrapolated pixels.…”
Section: R E L At E D W O R Kmentioning
confidence: 99%
“…The geometry of a scene in the image can be approximated by user interaction [2,[21][22][23][24] , inferred by scene understanding algorithms [25][26] or using depth sensors [27] . Many algorithms can directly estimate the geometry of the scene from a single image using very simple structures [28][29][30] .…”
Section: Related Workmentioning
confidence: 99%
“…It has extensive applications in video composition [1,2], video conferencing [3,4], and augmented reality [5]. The process of background substitution can be basically separated into two steps.…”
Section: Introductionmentioning
confidence: 99%