Presentation

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33. Temporal Hierarchical Gaussian Mixture Models for Real-Time Point Cloud Streaming
SessionPosters: Geometry & Modeling
DescriptionWe propose a novel approach for point cloud streaming consisting of a methodology that constructs a hierarchy of GMMs. This allows for a compact footprint and dynamic, progressive transmission and rendering of LODs. We achieve real-time and high-fidelity reconstructions by exploiting temporal coherence and a highly parallelized CUDA implementation.
Contributors
Roland Fischer
University of Bremen
Tobias Gels
University of Bremen
Rene Weller
University of Bremen
Gabriel Zachmann
University of Bremen
Event Type
Poster
TimeMonday, 29 July 20249:00am - 5:30pm MDT
LocationMile High Pre-Function Area
Session Time & Location
Sunday, 28 July 20249:00am - 5:30pm MDTMile High Pre-Function Area
Monday, 29 July 20249:00am - 5:30pm MDTMile High Pre-Function Area
Tuesday, 30 July 20249:00am - 5:30pm MDTMile High Pre-Function Area
Wednesday, 31 July 20249:00am - 5:30pm MDTMile High Pre-Function Area
Thursday, 1 August 20249:00am - 5:30pm MDTMile High Pre-Function Area
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Experience
Exhibitor Full Conference
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