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Abstract
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We present a new data structure for encoding the appearance of a geometric
model as seen from a viewing region (view cell). This representation can
be used in interactive or real-time visualization applications to replace a complex
model by an impostor, maintaining high quality rendering while cutting down
rendering time. Our approach relies on an object-space sampled representation
similar to a point cloud or a layered depth image, but introduces two fundamental
additions to previous techniques. First, the sampling rate is controlled to provide
sufficient density across all possible viewing conditions from the specified
view cell. Second, a correct, antialiased representation of the plenoptic function
is computed using Monte Carlo integration. Our system therefore achieves high
quality rendering using a simple representation with bounded complexity. We
demonstrate the method for an application in urban visualization.
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More Info
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Funding: Austrian Science
Foundation under
contract no. P-13867-INF
EU Training and Mobility Researchers network (TMR FMRX-CT96-0036)
Contact:
Michael
Wimmer,
Peter Wonka, François
Sillion
in cooperation with iMAGIS - Grenoble
Keywords: image-based rendering, point-based rendering,
impostor, plenoptic function, real-time rendering, urban walkthroughs, real-time simulation
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