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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22925

Title: Multi-view wide baseline depth estimation robust to sparse input sampling
Authors: Jorissen, Lode
Goorts, Patrik
Lafruit, Gauthier
Bekaert, Philippe
Issue Date: 2016
Publisher: IEEE
Citation: Proceedings of the 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), IEEE,
Series/Report: IEEE Xplore
Abstract: In this paper, we propose a depth map estimation algorithm, based on Epipolar Plane Image (EPI) line extraction, that is able to correctly handle partially occluded objects in wide baseline camera setups. Furthermore, we introduce a descriptor matching technique to reduce the negative influence of inaccurate color correction and similarly textured objects on the depth maps. A visual comparison between an existing EPI-line extraction algorithm and our method is provided, showing that our method provides more accurate and consistent depth maps in most cases.
Notes: Jorissen, L (reprint author), Hasselt Univ tUL, Expertise Ctr Digital Media, Wetenschapspk 2, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/22925
DOI: 10.1109/3DTV.2016.7548956
ISI #: 000390840500015
ISBN: 9781509033133
ISSN: 2161-2021
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2018
Appears in Collections: Research publications

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