Author Of 1 Presentation
OIST - Optical Imaging and Sensing Technology
TuB3.1 - COMPRESSIVE DEEP LEARNING APPROACHES FOR INFRARED AND HYPERSPECTRAL MACHINE VISION
Presentation Type
Invited Submission
Authors
Date
08/20/2019
Time
01:15 PM - 03:15 PM
Room
Sandpiper C/D
Duration
30 Minutes
Lecture Time
01:15 PM - 01:45 PM
Abstract
Abstract
This talk reviews approaches to utilize the single pixel camera for specific machine vision tasks directly on compressive measurements. Included are simulation and hardware results of coupling an optical modulator to small infrared focal plane arrays and visible spectrometers to perform high-resolution object recognition.
Presenter Of 1 Presentation
OIST - Optical Imaging and Sensing Technology
TuB3.1 - COMPRESSIVE DEEP LEARNING APPROACHES FOR INFRARED AND HYPERSPECTRAL MACHINE VISION
Presentation Type
Invited Submission
Authors
Date
08/20/2019
Time
01:15 PM - 03:15 PM
Room
Sandpiper C/D
Duration
30 Minutes
Lecture Time
01:15 PM - 01:45 PM
Abstract
Abstract
This talk reviews approaches to utilize the single pixel camera for specific machine vision tasks directly on compressive measurements. Included are simulation and hardware results of coupling an optical modulator to small infrared focal plane arrays and visible spectrometers to perform high-resolution object recognition.