TV Minimization of Direct Algebraic Method of Optical Flow Detection Via Modulated Integral Imaging using Correlation Image Sensor.

Toru Kurihara, Shigeru Ando

2014

Abstract

A novel mathematical method and a sensing system that detects velocity vector distribution on an optical image with a pixel-wise spatial resolution and a frame-wise temporal resolution is extended by total variation minimization. We applied fast total variation minimization technique for exact algebraic method of optical flow detection. Simulation result showed that directional error caused by local aperture problem decreased effectively by the virtue of global optimization. Experimental results showed edge preserving characteristics on the boundary of motion.

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Paper Citation


in Harvard Style

Kurihara T. and Ando S. (2014). TV Minimization of Direct Algebraic Method of Optical Flow Detection Via Modulated Integral Imaging using Correlation Image Sensor. . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-009-3, pages 705-710. DOI: 10.5220/0004853207050710

in Bibtex Style

@conference{visapp14,
author={Toru Kurihara and Shigeru Ando},
title={TV Minimization of Direct Algebraic Method of Optical Flow Detection Via Modulated Integral Imaging using Correlation Image Sensor.},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={705-710},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004853207050710},
isbn={978-989-758-009-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)
TI - TV Minimization of Direct Algebraic Method of Optical Flow Detection Via Modulated Integral Imaging using Correlation Image Sensor.
SN - 978-989-758-009-3
AU - Kurihara T.
AU - Ando S.
PY - 2014
SP - 705
EP - 710
DO - 10.5220/0004853207050710