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 - Graphisme, Vision et Robotique, 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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [28 references]  Display  Hide  Download


https://hal.inria.fr/inria-00510050
Contributor : Team Evasion <>
Submitted on : Tuesday, August 17, 2010 - 3:09:15 PM
Last modification on : Thursday, January 11, 2018 - 6:20:04 AM
Long-term archiving on : Thursday, November 18, 2010 - 3:00:20 AM

Files

wimmer_egrw2001.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00510050, version 1

Collections

INRIA | UGA | IMAG

Citation

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

Share

Metrics

Record views

156

Files downloads

311