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:
Aug. 15, 2017

Filed:

Dec. 30, 2008
Applicants:

Xiangyun YE, Framingham, MA (US);

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

Guruprasad Shivaram, Chestnut Hill, MA (US);

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

David Y. LI, West Roxbury, MA (US);

Inventors:

Xiangyun Ye, Framingham, MA (US);

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

Guruprasad Shivaram, Chestnut Hill, MA (US);

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

David Y. Li, West Roxbury, MA (US);

Assignee:

COGNEX CORPORATION, Natick, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/20 (2006.01);
U.S. Cl.
CPC ...
G06K 9/209 (2013.01);
Abstract

This invention provides a system and method to validate the accuracy of camera calibration in a single or multiple-camera embodiment, utilizing either 2D cameras or 3D imaging sensors. It relies upon an initial calibration process that generates and stores camera calibration parameters and residual statistics based upon images of a first calibration object. A subsequent validation process (a) acquires images of the first calibration object or a second calibration object having a known pattern and dimensions; (b) extracts features of the images of the first calibration object or the second calibration object; (c) predicts positions expected of features of the first calibration object or the second calibration object using the camera calibration parameters; and (d) computes a set of discrepancies between positions of the extracted features and the predicted positions of the features. The validation process then uses the computed set of discrepancies in a decision process that determines whether at least one of the discrepancies exceeds a predetermined threshold value. If so, recalibration is required. Where multiple cameras are employed, extrinsic parameters are determined and used in conjunction with the intrinsics.


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