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Authors: Xiaoyun Zhang 1 ; Weile Zhu 1 and George Yang 2

Affiliations: 1 University of Electronic Science and Technology of China, China ; 2 Panovasic Technology Co. Ltd., China

ISBN: 978-989-8111-21-0

Keyword(s): Multi-view video coding, multi-view video plus depth, global depth, depth-based view synthesis.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Stereo Vision and Structure from Motion

Abstract: Multi-view video plus depth (MVD) data format for Multi-view Video Coding (MVC) can support rendering a wide range continuum of views at the decoder for advanced 3DV and FVV systems. Thus, it is important to study global depth to reduce the rate for depth side information and to improve depth search efficiency. In this paper, we propose a global depth estimation algorithm from multi-view images using camera parameters. First, an initial depth is obtained from the convergent point of the camera system by solving a set of linear equations. Then, the global depth is searched around the initial depth to minimize the absolute difference between the synthesized view and the practical view. Because the initial depth can provide appropriate depth search range and step size, the global depth can be estimated efficiently and quickly with less computation. Experimental results verify the algorithm performance.

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Paper citation in several formats:
Zhang X.; Zhu W.; Yang G. and (2008). GLOBAL DEPTH ESTIMATION FOR MULTI-VIEW VIDEO CODING USING CAMERA PARAMETERS.In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 631-634. DOI: 10.5220/0001071706310634

@conference{visapp08,
author={Xiaoyun Zhang and Weile Zhu and George Yang},
title={GLOBAL DEPTH ESTIMATION FOR MULTI-VIEW VIDEO CODING USING CAMERA PARAMETERS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={631-634},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001071706310634},
isbn={978-989-8111-21-0},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - GLOBAL DEPTH ESTIMATION FOR MULTI-VIEW VIDEO CODING USING CAMERA PARAMETERS
SN - 978-989-8111-21-0
AU - Zhang, X.
AU - Zhu, W.
AU - Yang, G.
PY - 2008
SP - 631
EP - 634
DO - 10.5220/0001071706310634

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