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:
Jul. 11, 2017

Filed:

Sep. 22, 2015
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventor:

Alok Govil, Santa Clara, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/46 (2006.01); G06T 5/20 (2006.01); G06T 5/40 (2006.01);
U.S. Cl.
CPC ...
G06K 9/4614 (2013.01); G06K 9/4642 (2013.01); G06T 5/20 (2013.01); G06T 5/40 (2013.01); G06T 2207/20192 (2013.01);
Abstract

Methods, systems, computer-readable storage media, and apparatuses for efficiently computing a computer vision operation are presented. In certain aspects, techniques are disclosed for receiving values from one or more pixels from a pixel array and representing those values for facilitating computer vision operations, such as Haar-like feature computations. In one implementation, the pixel values are represented as a hierarchy of computations; each level above the lower level of the hierarchy of computations comprises one or more values representing a computation of the values from a lower level of the hierarchy. The computation can include a simple sum of the values for the lower level of the hierarchy, a weighted sum of the values for the lower level of the hierarchy, an average of the values for the lower level of the hierarchy, a local binary pattern based on the values for the lower level of the hierarchy, a histogram of oriented gradients based on the values for the lower level of the hierarchy, or other computer vision feature computation based on the values for the lower level of the hierarchy. In such an implementation, the computer vision operations, such as Haar-like feature computations, may be performed using the hierarchy of averages.


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