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
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.