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Characterization of Errors in Compositing Cylindrical Panoramic Images

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Panoramic Vision

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

Abstract

A cylindrical panoramic image has a 360° horizontal field of view. Panoramic images of scenes have interesting applications in computer vision and visualization because they contain full information about the scene from a given viewpoint. For example, Apple’s QuickTime VRTM [49] product uses panoramas for scene visualization. In computer vision, applying the stereo algorithm on multiple panoramas allows the entire 3D scene data points to be extracted (Chapter 17) and subsequently modeled [145]. In order to have metrically correct models, it is necessary to have an accurate estimate of the focal length.

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© 2001 Springer Science+Business Media New York

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Kang, S.B., Weiss, R. (2001). Characterization of Errors in Compositing Cylindrical Panoramic Images. 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_12

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  • DOI: https://doi.org/10.1007/978-1-4757-3482-9_12

  • 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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