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:
May. 29, 2012

Filed:

Jun. 04, 2009
Applicants:

Michael Kroepfl, Redmond, WA (US);

Eyal Ofek, Redmond, WA (US);

Yonatan Wexler, Redmond, WA (US);

Donald Wysocki, Austin, TX (US);

Gur Kimchi, Bellevue, WA (US);

Inventors:

Michael Kroepfl, Redmond, WA (US);

Eyal Ofek, Redmond, WA (US);

Yonatan Wexler, Redmond, WA (US);

Donald Wysocki, Austin, TX (US);

Gur Kimchi, Bellevue, WA (US);

Assignee:

Microsoft Corporation, Redmond, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/00 (2006.01); G06K 9/36 (2006.01);
U.S. Cl.
CPC ...
Abstract

Embodiments of the present invention relate to systems, methods and computer storage media for associating a known geographic location with a known identity. Feature matching, of at least two images, is performed in at least two iterations. The iterations are based on an orientation of feature vectors associated with points of interest in each image. A geometric model is applied to the matched points of interest to improve the matched pairs. Two images are identified as being related. As a result, the known geographic location is associated with the known identity. Additional embodiments include augmenting feature vectors with a coordinate location of a related point of interest based on a geometric model. Further, an exemplary embodiment includes an additional matching iteration based on the augmented feature vectors. In an exemplary embodiment, the feature matching utilizes a Scale-Invariant Feature Transform (SIFT).


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