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Plant leaf imaging using time of flight camera under sunlight, shadow and room conditions

Author
Kazmi, W.; Alenyà, G.; Foix, S.
Type of activity
Presentation of work at congresses
Name of edition
2012 IEEE International Symposium on Robotic and Sensors Environments
Date of publication
2012
Presentation's date
2012
Book of congress proceedings
Proceedings of the 2012 IEEE International Symposium on Robotic and Sensors Environments
First page
192
Last page
197
DOI
https://doi.org/10.1109/ROSE.2012.6402615 Open in new window
Repository
http://hdl.handle.net/2117/17432 Open in new window
URL
http://dx.doi.org/10.1109/ROSE.2012.6402615 Open in new window
Abstract
In this article, we analyze the effects of ambient light on Time of Flight (ToF) depth imaging for a plant’s leaf in sunlight, shadow and room conditions. ToF imaging is sensitive to ambient light and we try to find the best possible integration times (IT) for each condition. This is important in order to optimize camera calibration. Our analysis is based on several statistical metrics estimated from the ToF data. We explain the estimation of the metrics and propose a method of predicting the ...
Citation
Kazmi, W.; Foix, S.; Alenyà, G. Plant leaf imaging using time of flight camera under sunlight, shadow and room conditions. A: IEEE International Symposium on Robotic and Sensors Environments (ROSE). "Proceedings of the 2012 IEEE International Symposium on Robotic and Sensors Environments". Magdeburg: 2012, p. 192-197.
Keywords
active vision
Group of research
ROBiri - IRI Robotics Group

Participants