The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 17, 2020

Filed:

Nov. 09, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Conrad M. Albrecht, White Plains, NY (US);

Sharathchandra Pankanti, Darien, CT (US);

Marcus O. Freitag, Pleasantville, NY (US);

Hendrik F. Hamann, Yorktown Heights, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06T 17/05 (2011.01); G01S 17/42 (2006.01); G01S 17/89 (2020.01); G01S 7/51 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); G01S 7/51 (2013.01); G01S 17/42 (2013.01); G01S 17/89 (2013.01); G06K 9/6267 (2013.01); G06N 20/00 (2019.01); G06T 17/05 (2013.01); G06T 2200/04 (2013.01); G06T 2200/08 (2013.01);
Abstract

Scalable feature classification for 3D point cloud data is provided. In one aspect, a method for rasterizing 3D point cloud data includes: obtaining the 3D point cloud data; generating a digital elevation model (DEM) from the 3D point cloud data; decomposing the DEM into local and global fluctuations to obtain a local DEM; generating geo-referenced shapes by automatically thresholding the local DEM; cropping and normalizing the local DEM using minimum bounding boxes derived from the geo-referenced shapes and manual annotations from subject matter experts to create a cropped DEM; and linking geo-spatially tagged labels from the subject matter experts to the cropped DEM. These data can be then directly fed into a system having an ensemble of artificial neural networks. By way of example, a scalable ecosystem is presented on the basis of the geo-spatial platform IBM PAIRS.


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