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Updated: May 22, 2026

Automated Compression Testing of the Ocular Lens
Published on: April 5, 2024
Optical compressive change and motion detection
Yuval Kashter1, Ofer Levi, Adrian Stern
1Department of Electro-Optics Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Abstract:
Localization information of moving and changing objects, as commonly extracted from video sequences, is typically very sparse with respect to the full data frames, thus fulfilling one of the basic conditions of compressive sensing theory. Motivated by this observation, we developed an optical compressive change and motion-sensing technique that detects the location of moving objects by using a significantly fewer samples than conventionally taken. We present examples of motion detection and motion tracking with over two orders of magnitude fewer samples than required with conventional systems.
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