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Point-Based Impostors for Real-Time Visualization

Michael Wimmer Peter Wonka François X. Sillion 1 
1 iMAGIS - Models, Algorithms and Geometry for Computer Generated Image Graphics
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes
Abstract : We present a new data structure for encoding the appearance of a ge-ometric 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 pro-vide 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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Submitted on : Tuesday, August 17, 2010 - 3:09:15 PM
Last modification on : Friday, February 4, 2022 - 3:25:00 AM
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  • HAL Id : inria-00510050, version 1



Michael Wimmer, Peter Wonka, François X. Sillion. Point-Based Impostors for Real-Time Visualization. EuroGraphics Workshop on Rendering, 2001, Londres, United Kingdom. ⟨inria-00510050⟩



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