Invention Grant
US09400922B2 Facial landmark localization using coarse-to-fine cascaded neural networks
有权
使用粗到细级联神经网络的面部地标定位
- Patent Title: Facial landmark localization using coarse-to-fine cascaded neural networks
- Patent Title (中): 使用粗到细级联神经网络的面部地标定位
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Application No.: US14375674Application Date: 2014-05-29
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Publication No.: US09400922B2Publication Date: 2016-07-26
- Inventor: Erjin Zhou , Haoqiang Fan , Zhimin Cao , Yuning Jiang , Qi Yin
- Applicant: Beijing Kuangshi Technology Co., Ltd.
- Applicant Address: CN Beijing
- Assignee: Beijing Kuangshi Technology Co., Ltd.
- Current Assignee: Beijing Kuangshi Technology Co., Ltd.
- Current Assignee Address: CN Beijing
- Agency: Fenwick & West LLP
- International Application: PCT/CN2014/078814 WO 20140529
- International Announcement: WO2015/180100 WO 20151203
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T1/00 ; G06T7/00

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.
Public/Granted literature
- US20150347822A1 Facial Landmark Localization Using Coarse-to-Fine Cascaded Neural Networks Public/Granted day:2015-12-03
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