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:
Dec. 05, 2017

Filed:

Jan. 09, 2015
Applicant:

Facebook, Inc., Menlo Park, CA (US);

Inventors:

Sebastian Sztuk, Copenhagen N., DK;

Martin Henrik Tall, Frederiksberg C., DK;

Javier San Agustin Lopez, Copenhagen S, DK;

Assignee:

Facebook, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 9/47 (2006.01); G09G 5/00 (2006.01); G06K 9/00 (2006.01); G06F 3/01 (2006.01); H04N 5/232 (2006.01); H04N 5/235 (2006.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00255 (2013.01); G06F 3/013 (2013.01); G06K 9/00604 (2013.01); G06T 7/70 (2017.01); H04N 5/2327 (2013.01); H04N 5/2353 (2013.01); H04N 5/23219 (2013.01); H04N 5/23241 (2013.01); H04N 5/23258 (2013.01); G06T 2207/10004 (2013.01); G06T 2207/30201 (2013.01);
Abstract

An image of a user's eyes and face may be analyzed using computer-vision algorithms. A computing device may use the image to determine the location of the user's eyes and estimate the direction in which the user is looking. The eye tracking technology may be used in a wide range of lighting conditions and with many different and varying light levels. When a user is near a light source, an automatic exposure feature in the camera may result in the user's face and eyes appearing too dark in the image, possibly reducing the likelihood of face and eye detection. Adjusting attributes such as the camera exposure time and the intensity and illumination interval of the light sources based on motion and light levels may improve detection of a user's features.


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