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International Conference Image Analysis and Recognition

ICIAR 2017: Image Analysis and Recognition pp 660–670Cite as

Light Field Estimation in the Ultraviolet Spectrum

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10317))

Abstract

Ultraviolet cameras are becoming well used, with their applications in botany, dermatology, and recently in photography. In this paper, we develop a novel method of light field estimation from an ultraviolet image. Our UV light field imaging model is obtained by exploiting the radiometry, the optic, and the acquisition geometry. First, we develop an optic simulation model for an UV camera with a thin lens. That model permits to reconstruct a scene image from the correspondent light field. Then, we define a variational formalism that integrates an image of a scene acquired by an UV camera, the depth map of that scene, and the optic simulation model in order to estimate the light field. The experimental results show that it is possible to estimate the light field in the UV spectrum with accuracy.

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Author information

Authors and Affiliations

  1. Departement d’informatique, Universite de Sherbrooke, 2500 Boul de l’Universite, Sherbrooke, QC, J1K 2R1, Canada

    Julien Couillaud, Djemel Ziou & Wafa Benzaoui

Authors
  1. Julien Couillaud
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  2. Djemel Ziou
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  3. Wafa Benzaoui
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Corresponding author

Correspondence to Wafa Benzaoui .

Editor information

Editors and Affiliations

  1. University of Waterloo, Waterloo, Ontario, Canada

    Fakhri Karray

  2. University of Porto, Porto, Portugal

    Aurélio Campilho

  3. Politechnique Montreal, Montreal, Québec, Canada

    Farida Cheriet

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Couillaud, J., Ziou, D., Benzaoui, W. (2017). Light Field Estimation in the Ultraviolet Spectrum. In: Karray, F., Campilho, A., Cheriet, F. (eds) Image Analysis and Recognition. ICIAR 2017. Lecture Notes in Computer Science(), vol 10317. Springer, Cham. https://doi.org/10.1007/978-3-319-59876-5_73

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  • DOI: https://doi.org/10.1007/978-3-319-59876-5_73

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59875-8

  • Online ISBN: 978-3-319-59876-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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