Plenoptic Condensation: A Novel Approach to Generalized Scene Reconstruction
We present a novel Generalized Scene Reconstruction (GSR) approach called Plenoptic Condensation (PCon). PCon uses a multi-stage reconstruction pipeline, initially converting images into "soupy" scene elements with low (representational) power, then adaptively condensing the "soup" into "structured" elements of higher power capable of efficiently representing, for example, sharp edges and smooth reflective surfaces. PCon scene models called Reality Models (Relms) enable spatially varying representational power, which is essential for high-fidelity rendering, measurement, and scene understandin
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- LinkedLinked via arxiv author · 85%Brevin Tilmon →
“Plenoptic Condensation: A Novel Approach to Generalized Scene Reconstruction”
- LinkedLinked via arxiv author · 85%Alex DeJournett →
“Plenoptic Condensation: A Novel Approach to Generalized Scene Reconstruction”
- LinkedLinked via arxiv author · 85%John Leffingwell →
“Plenoptic Condensation: A Novel Approach to Generalized Scene Reconstruction”
- LinkedLinked via arxiv author · 85%Scott Ackerson →
“Plenoptic Condensation: A Novel Approach to Generalized Scene Reconstruction”