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Lighting and Shadows Rendering in Natural Scenes

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Handbook on Advances in Remote Sensing and Geographic Information Systems

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 122))

Abstract

In natural scene rendering, the light is the most important factor. The global lighting models are based on the reflection and diffusion of light on the surfaces of objects. The lighting environment can be considered as a composition of the outgoing radiance due to the direct lighting from the sky and the reflection of skylight of the ground, the outgoing radiance due to the direct Sun lighting, and the outgoing radiance due to the indirect lighting from the Sun though neighbour leaves. Also, the bidirectional reflectance distribution functions for different types of materials can be designed using physically-based approach. In this chapter, some models, such as Lambertian surfaces, Phong’s reflectance model, Blinn-Phong’s reflectance model, and microfacet models, are discussed. In spite of a shadowing is still an expensive component, the virtual environment without shadows cannot be realistic. Some hard and soft shadow techniques, suitable for the natural scene rendering, are represented in the chapter.

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Authors and Affiliations

  1. Institute of Informatics and Telecommunications, Siberian State Aerospace University, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  2. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

  3. Faculty of Science and Technology, Data Science Institute, Bournemouth University, Poole, UK

    Lakhmi C. Jain

  4. KES International, Leeds, West Yorkshire, UK

    Lakhmi C. Jain

Authors
  1. Margarita N. Favorskaya
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  2. Lakhmi C. Jain
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Correspondence to Lakhmi C. Jain .

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Favorskaya, M.N., Jain, L.C. (2017). Lighting and Shadows Rendering in Natural Scenes. In: Handbook on Advances in Remote Sensing and Geographic Information Systems. Intelligent Systems Reference Library, vol 122. Springer, Cham. https://doi.org/10.1007/978-3-319-52308-8_11

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  • DOI: https://doi.org/10.1007/978-3-319-52308-8_11

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  • Print ISBN: 978-3-319-52306-4

  • Online ISBN: 978-3-319-52308-8

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