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Image-Based Rendering from Uncalibrated Lightfields with Scalable Geometry

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Multi-Image Analysis

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2032))

Abstract

We combine uncalibrated Structure-from-Motion, lightfield rendering and view-dependent texture mapping to model and render scenes from a set of images that are acquired from an uncalibrated handheld video camera. The camera is simply moved by hand around the 3D scene of interest. The intrinsic camera parameters like focal length and the camera positions are automatically calibrated with a Structure-From-Motion approach. Dense and accurate depth maps for each camera viewpoint are computed with multi-viewpoint stereoscopic matching. The set of images, their calibration parameters and the depth maps are then utilized for depth-compensated image-based rendering. The rendering utilizes a scalable geometric approximation that is tailored to the needs of the rendering hardware.

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References

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© 2001 Springer-Verlag Berlin Heidelberg

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Koch, R., Heigl, B., Pollefeys, M. (2001). Image-Based Rendering from Uncalibrated Lightfields with Scalable Geometry. In: Klette, R., Gimel’farb, G., Huang, T. (eds) Multi-Image Analysis. Lecture Notes in Computer Science, vol 2032. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45134-X_4

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  • DOI: https://doi.org/10.1007/3-540-45134-X_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42122-1

  • Online ISBN: 978-3-540-45134-1

  • eBook Packages: Springer Book Archive

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