Variable Precision Depth Encoding for 3D Range Geometry...

Best Student Paper 3D Measurement and Data Processing 2020 Conference

Variable Precision Depth Encoding for 3D Range Geometry Compression
Matthew G. Finley, University of Iowa (US)

Recent advances in computing and imaging technology have allowed for the high speed, high precision acquisition of 3D range data applicable to fields such as medicine, communications, physical security, and entertainment. However, the large file sizes associated with raw 3D data has shown to be prohibitive to target applications. This talk will explore the need for 3D data compression and will introduce a novel method for compressing data in such a way that points of interest are well-preserved.

Matthew Finley is a PhD student in the University of Iowa’s Holo Reality Lab studying applied image and signal processing.

9/23/2020 10:00 AM - 9/23/2020 10:45 AM

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