Image Analysis Method by Analyzing Point Cloud Using Hierarchical Search Tree

Patent №

US 9,767,604

Granted

2017-09-19

Filed 2015

Owner

KABUSHIKI KAISHA TOSHIBA

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14807248

A method of object recognition and/or registration includes receiving a point cloud, arranging the points of the point cloud into a hierarchical search tree, and determining geometric information of the points located within a region, by identifying a highest level tree nodes where all of descendent leaf nodes are contained within the region and selecting the leaf nodes for the points where no sub-tree is entirely contained within the region, such that the points falling within the region are represented by the smallest number of nodes and performing statistical operations on the nodes representing the points in the region. The geometric information includes descriptors of features in the point cloud. The method further includes comparing the feature descriptors with a database of feature descriptors for a plurality of objects.

Machine learningVisionAI hardwareG06T 17/005G06T 5/00G06T 7/66G06T 2207/10028

AI classification

Vision1.00
AI hardware0.96
Machine learning0.77
Knowledge representation0.41
Speech0.00
Natural language0.00
Planning0.00
Evolutionary computation0.00

Ownership

KABUSHIKI KAISHA TOSHIBA

assignment · 368650784

Assignors

PHAM, MINH-TRI, GHERARDI, RICCARDO, PERBET, FRANK, STENGER, BJORN, JOHNSON, SAM, WOODFORD, OLIVER, ALCANTARILLA, PABLO, CIPOLLA, ROBERTO

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

From the same owner

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