loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Andreas Wittmann 1 ; Anas Al-Nuaimi 1 ; Eckehard Steinbach 1 and Georg Schroth 2

Affiliations: 1 Technische Universität München, Germany ; 2 NavVis GmbH, Germany

ISBN: 978-989-758-175-5

Keyword(s): Stereo Vision, Google Project Tango, Structured Light, 3D Scanning.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Computer Vision, Visualization and Computer Graphics ; Early and Biologically-Inspired Vision ; Image and Video Analysis ; Motion, Tracking and Stereo Vision ; Stereo Vision and Structure from Motion

Abstract: We present a novel approach for depth sensing that combines structured light scanning and stereo reconstruc- tion. High-resolution disparity maps are derived in an iterative-upsampling process that jointly optimizes measurements from graph cuts based stereo reconstruction and structured light sensing using an accelerated α-expansion algorithm. Different from previously proposed fusion approaches, the disparity estimation is initialized using the low-resolution structured light prior. This results in a dense disparity map that can be computed very efficiently and which serves as an improved prior for subsequent iterations at higher resolu- tions. The advantages of the proposed fusion approach over the sole use of stereo are threefold. First, for pixels that exhibit prior knowledge from structured lighting, a reduction of the disparity search range to the uncertainty interval of the prior allows for a significant reduction of ambiguities. Second, the resulting limited search range great ly reduces the runtime of the algorithm. Third, the structured light prior enables a dynamic tuning of the smoothness constraint to allow for a better depth estimation for inclined surfaces. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.242.193.41

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Wittmann, A.; Al-Nuaimi, A.; Steinbach, E. and Schroth, G. (2016). Enhanced Depth Estimation using a Combination of Structured Light Sensing and Stereo Reconstruction.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 510-521. DOI: 10.5220/0005724605100521

@conference{visapp16,
author={Andreas Wittmann. and Anas Al{-}Nuaimi. and Eckehard Steinbach. and Georg Schroth.},
title={Enhanced Depth Estimation using a Combination of Structured Light Sensing and Stereo Reconstruction},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={510-521},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005724605100521},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2016)
TI - Enhanced Depth Estimation using a Combination of Structured Light Sensing and Stereo Reconstruction
SN - 978-989-758-175-5
AU - Wittmann, A.
AU - Al-Nuaimi, A.
AU - Steinbach, E.
AU - Schroth, G.
PY - 2016
SP - 510
EP - 521
DO - 10.5220/0005724605100521

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.