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.

Patent No.:

US 8294712 B1

PDF
Full Text
Expired
Date of Patent:
Oct. 23, 2012

Filed:

Jul. 10, 2007
Applicant:

James M. Nelson, Sumner, WA (US);

Inventor:

James M. Nelson, Sumner, WA (US);

Assignee:

The Boeing Company, Chicago, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/40 (2011.01); G06T 15/00 (2011.01);
U.S. Cl.
CPC ...
Abstract

Techniques for facilitating detection of an object in a point cloud of three-dimensional imaging data representing an area of study where the object potentially is obscured by intervening obstacles are provided. The imaging data is processed to identify elements in the point cloud having substantially common attributes signifying that the identified elements correspond to a feature in the area of study. An isosurface is generated associating the elements having substantially common attributes. A reversed orientation visualization model for a region of interest is generated. The reversed orientation visual model areas of total occlusion that potentially signify presence of the object.


Find Patent Forward Citations

Nelson, James. (2012). Scalable method for rapidly detecting potential ground vehicle under cover using visualization of total occlusion footprint in point cloud population (U.S. Patent No. 8294712). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/8294712

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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