Three-dimensional (3D) object recognition system using region of interest geometric features

Patent №

US 8,553,989

Granted

2013-10-08

Filed 2010

Owner

HRL LABORATORIES, LLC

+1 more

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12799618

The present invention relates to a method for three-dimensional (3D) object recognition using region of interest geometric features. The method includes acts of receiving an implicit geometry representation regarding a three-dimensional (3D) object of interest. A region of interest (ROI) is centered on the implicit geometry representation such that there is at least one intersection area between the ROI and the implicit geometry representation. Object shape features are calculated that reflect a location of the ROI with respect to the implicit geometry representation. The object shape features are assembled into a feature vector. A classification confidence value is generated with respect to a particular object classification. Finally, the 3D object of interest is classified as a particular object upon the output of a statistical classifier reaching a predetermined threshold.

AI classification

Vision1.00
Machine learning1.00
AI hardware0.79
Planning0.39
Knowledge representation0.18
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

HRL LABORATORIES, LLC

assignment · 243710534

BOEING COMANY, THE

assignment · 243710534

Assignors

OWECHKO, YURI, MEDASANI, SWARUP, NELSON, JIM

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

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