Citation
Abstract
The color recognition and identification in operation time is a critical task in color-based computer vision applications. The main problem for recognizing the real color arises when the color characteristics are changed dynamically in the life time of a system. The outdoor color models which have been addressed by some researchers have serious practical limitations to employ in real applications. Moreover, due to high fluctuations in environment illumination, using conventional classifier for discriminating colors is a complicated task. In this paper, a just-in-time and model-free solution in order to discriminate outdoor colors on data driven modality is proposed. For this purpose, adaptive similarity-based classifier is utilized to track the color's data evolution during a day.
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Official URL or Download Paper: https://www.jstage.jst.go.jp/article/elex/7/5/7_5_...
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Engineering Institute of Advanced Technology |
| DOI Number: | https://doi.org/10.1587/elex.7.339 |
| Publisher: | The Institute of Electronics, Information and Communication Engineers |
| Keywords: | Model-free outdoor color constancy; Adaptive similarity-based classification; Non-stationarity tracking |
| Depositing User: | Anas Yahaya |
| Date Deposited: | 31 Mar 2011 10:18 |
| Last Modified: | 26 Oct 2018 01:54 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1587/elex.7.339 |
| URI: | http://psasir.upm.edu.my/id/eprint/11431 |
| Statistic Details: | View Download Statistic |
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