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Scene Reconstruction based on penta-ocular Image Sequences for 3D-Imaging

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Image Processing for Broadcast and Video Production

Part of the book series: Workshops in Computing ((WORKSHOPS COMP.))

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Abstract

We present a new technique for 3D-scene modelling based on stereo and motion analysis of penta-ocular image sequences. Scene modeling is the most critical part of any image analysis-synthesis procedure. Apart from coding applications, the proposed approach is intended to be used for the realisation of a viewpoint-depending virtual camera that can be located at arbitrary positions within the original camera array. With virtual cameras it will be possible to create any number of perspective views needed, e.g. for the reproduction of smooth motion parallax in multiview 3DTV systems1,5−8 or for the recovery of eye contact in video conferences2. This framework is also essential for image capturing of natural scenes for Virtual Environment concepts or for further approaches as Vision Like Television VLTV3.

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References

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© 1995 British Computer Society

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Skerjanc, R. (1995). Scene Reconstruction based on penta-ocular Image Sequences for 3D-Imaging. In: Paker, Y., Wilbur, S. (eds) Image Processing for Broadcast and Video Production. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3035-2_13

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  • DOI: https://doi.org/10.1007/978-1-4471-3035-2_13

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19947-2

  • Online ISBN: 978-1-4471-3035-2

  • eBook Packages: Springer Book Archive

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