Presentation

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Topology Type Estimation of Simulated 4D Image Data by Combining Downscaling and Convolutional Neural Networks
SessionReconstruction & Sampling
DescriptionThis project integrates a 4D camera model, synthetic 4D datasets, and CNNs trained on downscaled data to analyse its 4D topology. The results suggest that advanced 4D vision pipelines, particularly when paired with significant computational resources, could enable scientific breakthroughs unattainable with traditional two and three dimensional methods.
Authors
Khalil Hannouch
The University of Newcastle
Stephan Chalup
The University of Newcastle
Presenter
Stephan Chalup
The University of Newcastle
Event Type
Technical Paper
TimeWednesday, 22 July 202611:05am - 11:15am PDT
LocationRoom 403 B
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Wednesday, 22 July 202610:45am - 12:35pm PDTRoom 403 B
Keywords
Artificial Intelligence/Machine Learning
Registration Categories
Full Conference Supporter
Full Conference
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