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Depth maps estimation and use for 3DTV

Gael Sourimant 1, * 
* Corresponding author
1 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We describe in this document several depth maps estimation methods, in different video contexts. For standard (monocular) videos of fixed scene and moving camera, we present a technique to extract both the 3D structure of the scene and the camera poses over time. These information are exploited to generate dense depth maps for each image of the video, through optical flow estimation algorithms. We also present a depth maps extraction method for multi-view sequences aiming at generating MVD content for 3DTV. These works are compared to existing approaches used at writing time in the 3DV group of MPEG for normalization purposes. Finally, we demonstrate how such depth maps can be exploited to perform relief auto-stereoscopic rendering, in a dynamic and interactive way, without sacrifying the real-time computation constraint.
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https://hal.inria.fr/inria-00458221
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Submitted on : Friday, February 19, 2010 - 4:41:44 PM
Last modification on : Friday, February 4, 2022 - 3:23:22 AM
Long-term archiving on: : Thursday, October 18, 2012 - 3:35:17 PM

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  • HAL Id : inria-00458221, version 1

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Gael Sourimant. Depth maps estimation and use for 3DTV. [Technical Report] RT-0379, INRIA. 2010, pp.69. ⟨inria-00458221⟩

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