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Single Viewpoint Catadioptric Cameras

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Panoramic Vision

Part of the book series: Monographs in Computer Science ((MCS))

Abstract

Many applications in computational vision require that a large field of view is imaged. Examples include surveillance, teleconferencing, and model acquisition for virtual reality. A number of other applications, such as egomotion estimation and tracking, would also benefit from enhanced fields of view. Unfortunately, conventional imaging systems are severely limited in their fields of view. Both researchers and practitioners have therefore had to resort to using either multiple or rotating cameras in order to image the entire scene.

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© 2001 Springer Science+Business Media New York

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Baker, S., Nayar, S.K. (2001). Single Viewpoint Catadioptric Cameras. In: Benosman, R., Kang, S.B. (eds) Panoramic Vision. Monographs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3482-9_4

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  • DOI: https://doi.org/10.1007/978-1-4757-3482-9_4

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-2880-1

  • Online ISBN: 978-1-4757-3482-9

  • eBook Packages: Springer Book Archive

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