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:
Feb. 05, 2019

Filed:

Feb. 21, 2017
Applicant:

Pinscreen, Inc., Westlake Village, CA (US);

Inventors:

Hao Li, Santa Monica, CA (US);

Tianye Li, Los Angeles, CA (US);

Shunsuke Saito, Los Angeles, CA (US);

Assignee:

Pinscreen, Inc., Santa Monica, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/11 (2017.01); G06K 9/46 (2006.01); G06T 7/143 (2017.01); G06T 7/194 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00281 (2013.01); G06K 9/00234 (2013.01); G06K 9/4628 (2013.01); G06T 7/11 (2017.01); G06T 7/143 (2017.01); G06T 7/194 (2017.01); G06T 2207/10024 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30201 (2013.01);
Abstract

There is disclosed a system and method of performing facial recognition from RGB image data. The method includes generating a lower-resolution image from the RGB image data, performing a convolution of the lower-resolution image data to derive a probability map identifying probable facial regions and a probable non-facial regions, and performing a first deconvolution on the lower-resolution image using a bilinear interpolation layer to derive a set of coarse facial segments. The method further includes performing a second deconvolution on the lower-resolution image using a series of unpooling, deconvolution, and rectification layers to derive a set of fine facial segments, concatenating the set of coarse facial segments to the set of fine facial segments to create an image matrix made up of a set of facial segments, and generating a binary facial mask identifying probable facial regions and probable non-facial regions from the image matrix.


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