Detecting Non-lambertian Materials in Video

Seyed Mahdi Javadi, Yongmin Li, Xiaohui Liu

2017

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.

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