A method is described for generating a three-dimensional video stream by starting from a sequence of video images, said sequence comprising a first view (V0), at least one second view (Vi) of a scene, as well as a depth map (D0) of said first view (Vo), or a disparity map of said at least one second view (V1) with respect to the first view (V0), the method comprising, for one image, the following steps: obtaining at least one occlusion image (O1) comprising the occluded pixels of said second view (V1) by starting from said depth map (D0) or from said disparity map; generating a compacted occlusion image (OC1) by spatially repositioning said occluded pixels of said at least one occlusion image (O1), so as to move said pixels closer to one another; said three-dimensional video stream comprising, for one image, said first view (V0), said depth map (D0), or said disparity map, and said at least one compacted occlusion image (OC1).

Method for generating and reconstructing a three-dimensional video stream, based on the use of the occlusion map, and corresponding generating and reconstructing device

GRANGETTO, Marco;LUCENTEFORTE, Maurizio
2013

Abstract

A method is described for generating a three-dimensional video stream by starting from a sequence of video images, said sequence comprising a first view (V0), at least one second view (Vi) of a scene, as well as a depth map (D0) of said first view (Vo), or a disparity map of said at least one second view (V1) with respect to the first view (V0), the method comprising, for one image, the following steps: obtaining at least one occlusion image (O1) comprising the occluded pixels of said second view (V1) by starting from said depth map (D0) or from said disparity map; generating a compacted occlusion image (OC1) by spatially repositioning said occluded pixels of said at least one occlusion image (O1), so as to move said pixels closer to one another; said three-dimensional video stream comprising, for one image, said first view (V0), said depth map (D0), or said disparity map, and said at least one compacted occlusion image (OC1).
PCT/IB2013/053660
Sisvel Technology S.R.L
http://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20131216&DB=EPODOC&locale=en_EP&CC=TW&NR=201351961A&KC=A&ND=5
televisione; Algorithms, Computer Simulation, Data Interpretation
Marco Grangetto; Maurizio Lucenteforte
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/151848
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