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. 26, 2016

Filed:

May. 29, 2014
Applicant:

Beijing Kuangshi Technology Co., Ltd., Beijing, CN;

Inventors:

Erjin Zhou, Beijing, CN;

Haoqiang Fan, Beijing, CN;

Zhimin Cao, Beijing, CN;

Yuning Jiang, Beijing, CN;

Qi Yin, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 1/00 (2006.01); G06T 7/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00248 (2013.01); G06K 9/00281 (2013.01); G06T 1/0007 (2013.01); G06T 7/003 (2013.01); G06T 7/0022 (2013.01); G06T 7/0081 (2013.01); G06T 7/0085 (2013.01); G06T 2207/10004 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01);
Abstract

The present invention overcomes the limitations of the prior art by performing facial landmark localization in a coarse-to-fine manner with a cascade of neural network levels, and enforcing geometric constraints for each of the neural network levels. In one approach, the neural network levels may be implemented with deep convolutional neural network. One aspect concerns a system for localizing landmarks on face images. The system includes an input for receiving a face image, and an output for presenting landmarks identified by the system. Neural network levels are coupled in a cascade from the input to the output for the system. Each neural network level produces an estimate of landmarks. The estimate of landmarks is more refined than an estimate of landmark of a previous neural network level.


Find Patent Forward Citations

Loading…