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This presentation by Andy Wilson explores innovative techniques for massive model rendering (MMR) by utilizing simple impostors to represent distant geometry, greatly enhancing rendering efficiency. By employing MPEG encoding, coherence between impostors in adjacent cells can be optimized for better image quality. The presentation covers state-of-the-art video representation methods, including various MPEG formats and image-based impostors. Key goals include generating video streams that allow automatic pathfinding and bidirectional motion navigation. Challenges such as codec adaptation and inter-frame dependencies are discussed, along with future work focusing on improving pathfinding efficiency and image coherence.
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Far Field Video Andy Wilson COMP290-72 Final Presentation
Motivation • Accelerate massive model rendering by representing distant geometry with simple impostor • Use MPEG encoding to take advantage of coherence between impostors for adjacent cells
State of the Art • Massive model rendering: the Walkthrough MMR system • Video representation: numerous techniques (MPEG1-3, Intel Indeo, H.263, etc.) • Far-field representations: image-based impostors (TDM, LDI, QTVR, etc.)
Goals • Automatically find paths through a model • Generate video stream from those paths • Allow bidirectional motion through image stream • Integrate video into viewer
Major Setbacks • Freely available video codecs (with source) are difficult to adapt • Bidirectional stream navigation requires a lot of work • Inter-frame dependencies make random access difficult • Many cryptic parameters in encoder have large effect on quality of output
Sample Loss of Quality MPEG Normal (PNG)
Future Work • Better paths through model • more coherence means better images, smaller streams • Problem known to be NP-complete! • Bidirectional navigation • Probably requires complete rewrite of MPEG decoder • Other representations • panorama, cell-wall movie, ?