loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Sinan Kalkan 1 ; Florentin Wörgötter 1 and Norbert Krüger 2

Affiliations: 1 Bernstein Center for Computational Neuroscience, Univ. of Göttingen, Germany ; 2 Cognitive Vision Lab, Univ. of Southern Denmark, Denmark

Keyword(s): Depth Prediction, 3D Reconstruction, Perceptual Relations.

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

Abstract: This paper proposes a voting-based model that predicts depth at weakly-structured image areas from the depth that is extracted using a feature-based stereo method. We provide results, on both real and artificial scenes, that show the accuracy and robustness of our approach. Moreover, we compare our method to different dense stereo algorithms to investigate the effect of texture on performance of the two different approaches. The results confirm the expectation that dense stereo methods are suited better for textured image areas and our method for weakly-textured image areas.

CC BY-NC-ND 4.0

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 3.15.7.212

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:
Kalkan, S.; Wörgötter, F. and Krüger, N. (2008). DEPTH PREDICTION AT HOMOGENEOUS IMAGE STRUCTURES. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 520-527. DOI: 10.5220/0001079005200527

@conference{visapp08,
author={Sinan Kalkan. and Florentin Wörgötter. and Norbert Krüger.},
title={DEPTH PREDICTION AT HOMOGENEOUS IMAGE STRUCTURES},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={520-527},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001079005200527},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - DEPTH PREDICTION AT HOMOGENEOUS IMAGE STRUCTURES
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Kalkan, S.
AU - Wörgötter, F.
AU - Krüger, N.
PY - 2008
SP - 520
EP - 527
DO - 10.5220/0001079005200527
PB - SciTePress