Detecting Non-lambertian Materials in Video

Seyed Mahdi Javadi, Yongmin Li, Xiaohui Liu

Abstract

This paper describes a novel method to identify and distinguish shiny and glossy materials in videos automatically. The proposed solution works by analyzing the logarithm of chromaticity of sample pixels from various materials over a period of time to differentiate between shiny and matt textures. The Lambertian materials have different reflectance model and the distribution of their chromaticity is not the same as non-Lambertian texture. We will use this to detect shiny materials. This system has many application in texture and object recognition, water leakage and oil spillage detection systems.

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Paper Citation


in Harvard Style

Javadi S., Li Y. and Liu X. (2017). Detecting Non-lambertian Materials in Video . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7, pages 254-259. DOI: 10.5220/0006185002540259


in Bibtex Style

@conference{visapp17,
author={Seyed Mahdi Javadi and Yongmin Li and Xiaohui Liu},
title={Detecting Non-lambertian Materials in Video},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={254-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006185002540259},
isbn={978-989-758-225-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)
TI - Detecting Non-lambertian Materials in Video
SN - 978-989-758-225-7
AU - Javadi S.
AU - Li Y.
AU - Liu X.
PY - 2017
SP - 254
EP - 259
DO - 10.5220/0006185002540259