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.:
Date of Patent:
Jan. 07, 2014
Filed:
Jul. 28, 2011
Pawan Kumar Baheti, Bangalore, IN;
Sundeep Vaddadi, San Diego, CA (US);
Ashwin Swaminathan, San Diego, CA (US);
Yuriy Reznik, Seattle, WA (US);
Onur C. Hamsici, San Diego, CA (US);
Murali Ramaswamy Chari, San Diego, CA (US);
John H. Hong, San Diego, CA (US);
Chong Uk Lee, San Diego, CA (US);
Pawan Kumar Baheti, Bangalore, IN;
Sundeep Vaddadi, San Diego, CA (US);
Ashwin Swaminathan, San Diego, CA (US);
Yuriy Reznik, Seattle, WA (US);
Onur C. Hamsici, San Diego, CA (US);
Murali Ramaswamy Chari, San Diego, CA (US);
John H. Hong, San Diego, CA (US);
Chong Uk Lee, San Diego, CA (US);
QUALCOMM Incorporated, San Diego, CA (US);
Abstract
In one example, an apparatus includes a processor configured to extract a first set of one or more keypoints from a first set of blurred images of a first octave of a received image, calculate a first set of one or more descriptors for the first set of keypoints, receive a confidence value for a result produced by querying a feature descriptor database with the first set of descriptors, wherein the result comprises information describing an identity of an object in the received image, and extract a second set of one or more keypoints from a second set of blurred images of a second octave of the received image when the confidence value does not exceed a confidence threshold. In this manner, the processor may perform incremental feature descriptor extraction, which may improve computational efficiency of object recognition in digital images.