SELECTION OF SPECTRAL BANDS OR FILTERS FOR MATERIAL CLASSIFICATION UNDER MULTIPLEXED ILLUMINATION

Patent №

US 9,606,056

Granted

2017-03-28

Filed 2014

Owner

CANON KABUSHIKI KAISHA

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14309771

Material classification using multiplexed illumination by broadband spectral light from multiple different incident angles, coupled with multi-spectral narrow band spectral measurement of light reflected from the illuminated object of unknown material, wherein selection of spectral bands for illumination or for narrow-band capture may comprise analysis of a database of labeled training material samples within a multi-class classification framework, captured using a relatively large number of spectral bands (such as 32 spectral bands), so as to select a subset of a relatively fewer number of spectral bands (such as 5 spectral bands), wherein the selected spectral bands in the subset retain a significant aptitude for distinguishing between different classifications of materials.

Machine learningVisionAI hardwareG01N 21/55G06F 18/2431G06N 20/00G06N 20/10G06V 10/143G06V 10/147G06V 10/764G01N 2201/0627+1 more

AI classification

Vision1.00
Machine learning1.00
AI hardware1.00
Knowledge representation0.49
Natural language0.00
Planning0.00
Speech0.00
Evolutionary computation0.00

Ownership

CANON KABUSHIKI KAISHA

assignment · 337210157

Assignors

LIU, CHAO, SKAFF, SANDRA

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

From the same owner

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