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:
Sep. 01, 2015

Filed:

Oct. 24, 2013
Applicant:

Cognex Corporation, Natick, MA (US);

Inventors:

Lifeng Liu, Arlington, MA (US);

Aaron S. Wallack, Natick, MA (US);

Cyril C. Marrion, Jr., Acton, MA (US);

David J. Michael, Wayland, MA (US);

Assignee:

Cognex Corporation, Natick, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/36 (2006.01); H04N 13/02 (2006.01); G06K 9/20 (2006.01); G06T 7/00 (2006.01);
U.S. Cl.
CPC ...
H04N 13/0203 (2013.01); G06K 9/209 (2013.01); G06T 7/0018 (2013.01); G06T 7/0046 (2013.01); G06T 2207/10012 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/30164 (2013.01); G06T 2207/30208 (2013.01);
Abstract

This invention provides a system and method for determining correspondence between camera assemblies in a 3D vision system implementation having a plurality of cameras arranged at different orientations with respect to a scene involving microscopic and near microscopic objects under manufacture moved by a manipulator, so as to acquire contemporaneous images of a runtime object and determine the pose of the object for the purpose of guiding manipulator motion. At least one of the camera assemblies includes a non-perspective lens. The searched 2D object features of the acquired non-perspective image, corresponding to trained object features in the non-perspective camera assembly can be combined with the searched 2D object features in images of other camera assemblies, based on their trained object features to generate a set of 3D features and thereby determine a 3D pose of the object.


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