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:
Jan. 23, 2018

Filed:

Jul. 28, 2015
Applicant:

GM Global Technology Operations Llc, Detroit, MI (US);

Inventors:

Swarup Medasani, Thousand Oaks, CA (US);

Jason Meltzer, Los Angeles, CA (US);

Jiejun Xu, Chino, CA (US);

Zhichao Chen, Woodland Hills, CA (US);

Rashmi N. Sundareswara, Los Angeles, CA (US);

David W. Payton, Calabasas, CA (US);

Ryan M. Uhlenbrock, Los Angeles, CA (US);

Leandro G. Barajas, Harvest, AL (US);

Kyungnam Kim, Oak Park, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G01B 11/00 (2006.01); G06K 9/46 (2006.01); G06T 3/00 (2006.01); G06T 7/20 (2017.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
G06K 9/6218 (2013.01); G01B 11/002 (2013.01); G06K 9/00214 (2013.01); G06K 9/4671 (2013.01); G06K 9/6203 (2013.01); G06K 9/6215 (2013.01); G06K 9/6256 (2013.01); G06T 3/00 (2013.01); G06T 7/20 (2013.01); G06T 7/74 (2017.01); G06K 9/00 (2013.01); G06K 2009/4666 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20016 (2013.01);
Abstract

A method for localizing and estimating a pose of a known object in a field of view of a vision system is described, and includes developing a processor-based model of the known object, capturing a bitmap image file including an image of the field of view including the known object, extracting features from the bitmap image file, matching the extracted features with features associated with the model of the known object, localizing an object in the bitmap image file based upon the extracted features, clustering the extracted features of the localized object, merging the clustered extracted features, detecting the known object in the field of view based upon a comparison of the merged clustered extracted features and the processor-based model of the known object, and estimating a pose of the detected known object in the field of view based upon the detecting of the known object.


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