METHODS, APPARATUSES, AND SYSTEMS FOR RECONSTRUCTION-FREE IMAGE RECOGNITION FROM COMPRESSIVE SENSORS

Patent №

US 10,387,751

Granted

2019-08-20

Filed 2018

Owner

ARIZONA BOARD OF REGENTS OF BEHALF OF ARIZONA STATE UNIVERSITY

Lab

AI components

4

ml · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15869780

The disclosure relates to an image recognition algorithm implemented by a hardware control system which operates directly on data from a compressed sensing camera. A computationally expensive image reconstruction step can be avoided, allowing faster operation and reducing the computing requirements of the system. The method may implement an algorithm that can operate at speeds comparable to an equivalent approach operating on a conventional camera's output. In addition, at high compression ratios, the algorithm can outperform approaches in which an image is first reconstructed and then classified.

Machine learningVisionPlanningAI hardwareG06V 10/10G06F 18/2115G06F 18/241G06F 18/2413G06F 18/28G06N 3/044G06N 3/045G06N 3/047+7 more

AI classification

Vision1.00
Machine learning1.00
AI hardware0.94
Planning0.68
Knowledge representation0.42
Natural language0.00
Speech0.00
Evolutionary computation0.00

Ownership

ARIZONA BOARD OF REGENTS OF BEHALF OF ARIZONA STATE UNIVERSITY

assignment · 458040661

Assignors

BRAUN, HENRY, SPANIAS, ANDREAS, TURAGA, PAVAN, TEPEDELENLIOGLU, CIHAN

On an employer assignment, the assignors are typically the inventors.

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