Plant Leaf Imaging using Time of Flight Camera under Sunlight, Shadow and Room Conditions

Wajahat Kazmi; Sergi Foix; Guillem Alenya

doi:10.1109/ROSE.2012.6402615

Plant Leaf Imaging using Time of Flight Camera under Sunlight, Shadow and Room Conditions

Wajahat Kazmi, Sergi Foix, Guillem Alenya

Department of Architecture, Design and Media Technology

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

18 Citations (Scopus)

1025 Downloads (Pure)

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.

Original language	English
Title of host publication	IEEE International Symposium on Robotic and Sensors Environments
Number of pages	6
Publisher	IEEE Computer Society Press
Publication date	Nov 2012
Pages	192-197
ISBN (Print)	978-1-4673-2705-3
DOIs	https://doi.org/10.1109/ROSE.2012.6402615
Publication status	Published - Nov 2012
Event	2012 IEEE International Symposium on Robotic and Sensors Environments (ROSE 2012) - Magdeburg, Germany Duration: 16 Nov 2012 → 18 Nov 2012

Conference

Conference	2012 IEEE International Symposium on Robotic and Sensors Environments (ROSE 2012)
Country/Territory	Germany
City	Magdeburg
Period	16/11/2012 → 18/11/2012

Keywords

ToF imaging, 3D imaging

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10.1109/ROSE.2012.6402615

ROSE2012Submitted manuscript, 3.25 MB

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@inproceedings{4907ef988131418f8d40b88f5b1662f6,

title = "Plant Leaf Imaging using Time of Flight Camera under Sunlight, Shadow and Room Conditions",

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.",

keywords = "ToF imaging, 3D imaging",

author = "Wajahat Kazmi and Sergi Foix and Guillem Alenya",

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language = "English",

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booktitle = "IEEE International Symposium on Robotic and Sensors Environments",

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note = "2012 IEEE International Symposium on Robotic and Sensors Environments (ROSE 2012) ; Conference date: 16-11-2012 Through 18-11-2012",

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Kazmi, W, Foix, S & Alenya, G 2012, Plant Leaf Imaging using Time of Flight Camera under Sunlight, Shadow and Room Conditions. in IEEE International Symposium on Robotic and Sensors Environments. IEEE Computer Society Press, pp. 192-197, 2012 IEEE International Symposium on Robotic and Sensors Environments (ROSE 2012) , Magdeburg, Germany, 16/11/2012. https://doi.org/10.1109/ROSE.2012.6402615

Plant Leaf Imaging using Time of Flight Camera under Sunlight, Shadow and Room Conditions. / Kazmi, Wajahat; Foix, Sergi; Alenya, Guillem.
IEEE International Symposium on Robotic and Sensors Environments. IEEE Computer Society Press, 2012. p. 192-197.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Plant Leaf Imaging using Time of Flight Camera under Sunlight, Shadow and Room Conditions

AU - Kazmi, Wajahat

AU - Foix, Sergi

AU - Alenya, Guillem

PY - 2012/11

Y1 - 2012/11

N2 - 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.

AB - 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.

KW - ToF imaging, 3D imaging

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U2 - 10.1109/ROSE.2012.6402615

DO - 10.1109/ROSE.2012.6402615

M3 - Article in proceeding

SN - 978-1-4673-2705-3

SP - 192

EP - 197

BT - IEEE International Symposium on Robotic and Sensors Environments

PB - IEEE Computer Society Press

T2 - 2012 IEEE International Symposium on Robotic and Sensors Environments (ROSE 2012)

Y2 - 16 November 2012 through 18 November 2012

ER -

Plant Leaf Imaging using Time of Flight Camera under Sunlight, Shadow and Room Conditions

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