Abstract
Light field rendering allows fast visualization of complex scenes by view interpolation from images of densely spaced camera view-points. The light field data structure requires calibrated viewpoints, and rendering quality can be improved substantially when local scene depth is known for each viewpoint. In this contribution we propose to combine light field rendering with a geometry-based structure-from-motion approach that computes camera calibration and local depth estimates. The advantage of the combined approach w.r.t. a pure geometric structure recovery is that the estimated geometry need not be globally consistent but is updated locally depending on the rendering viewpoint. We concentrate on the viewpoint calibration that is computed directly from the image data by tracking image feature points. Ground-truth experiments on real light field sequences confirm the quality of calibration.
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© 1999 Springer-Verlag Berlin Heidelberg
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Koch, R., Heigl, B., Pollefeys, M., Van Gool, L., Niemann, H. (1999). A Geometric Approach to Light field Calibration. In: Solina, F., Leonardis, A. (eds) Computer Analysis of Images and Patterns. CAIP 1999. Lecture Notes in Computer Science, vol 1689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48375-6_71
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DOI: https://doi.org/10.1007/3-540-48375-6_71
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