loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Norio Tagawa and Shoei Koizumi

Affiliation: Tokyo Metropolitan University, Japan

Keyword(s): Direct Shape Recovery fromMotion, GradientMethod, Random CameraMotions, Fixational EyeMovements.

Abstract: The gradient-based depth from motion method is effective for obtaining a dense depth map. However, the accuracy of the depth map recovered only from two successive images is not so high, and hence, to increase the depth information by tracking corresponding image points through an image sequence is often performed by using, for example, the Kalman filter-like technique. Alternatively, multiple image pairs generated by random small camera rotations around a reference direction can be used for gaining much information of depth without such the tracking procedure. In the framework of this strategy, in this study, to further improve the accuracy, we propose a selective use of the optimal image resolution. The appropriate resolution image is required to have a linear intensity pattern which is the most important supposition for the gradient method often used for dense depth recovery based on the theory of “shape from motion.” The performance of our proposal is examined through numerical e valuations using artificial images. (More)

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 44.192.16.116

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:
Tagawa, N. and Koizumi, S. (2015). Selective Use of Optimal Image Resolution for Depth from Multiple Motions based on Gradient Scheme. In Proceedings of the 5th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2015) - IMTA-5; ISBN 978-989-758-094-9, SciTePress, pages 92-99. DOI: 10.5220/0005462500920099

@conference{imta-515,
author={Norio Tagawa. and Shoei Koizumi.},
title={Selective Use of Optimal Image Resolution for Depth from Multiple Motions based on Gradient Scheme},
booktitle={Proceedings of the 5th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2015) - IMTA-5},
year={2015},
pages={92-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005462500920099},
isbn={978-989-758-094-9},
}

TY - CONF

JO - Proceedings of the 5th International Workshop on Image Mining. Theory and Applications (VISIGRAPP 2015) - IMTA-5
TI - Selective Use of Optimal Image Resolution for Depth from Multiple Motions based on Gradient Scheme
SN - 978-989-758-094-9
AU - Tagawa, N.
AU - Koizumi, S.
PY - 2015
SP - 92
EP - 99
DO - 10.5220/0005462500920099
PB - SciTePress