Publication

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

Conference Article

Conference

IEEE International Symposium on Robotic and Sensors Environments (ROSE)

Edition

2012

Pages

192-197

Doc link

http://dx.doi.org/10.1109/ROSE.2012.6402615

File

Download the digital copy of the doc pdf document

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 the 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 deteriorating behavior of the data in each condition using camera flags. Finally, we also propose a method to improve the quality of a ToF image taken in a mixed condition having different ambient light exposures.

Categories

active vision.

Scientific reference

W. Kazmi, S. Foix and G. Alenyà. Plant leaf imaging using time of flight camera under sunlight, shadow and room conditions, 2012 IEEE International Symposium on Robotic and Sensors Environments, 2012, Magdeburg, Germany, pp. 192-197, IEEE.