FACE DETECTION USING MACHINE LEARNING - BEIJING KUANGSHI TECHNOLOGY CO LTD

Title:

FACE DETECTION USING MACHINE LEARNING

Document Type and Number:

WIPO Patent Application WO/2016/074247

Kind Code:

A1

Abstract:

A disclosed face detection system (and method) is based on a structure of a convolutional neural network (CNN). One aspect concerns a method for automatically training a CNN for face detection. The training is performed such that balanced number of face images and non-face images are used for training by deriving additional face images from the face images. The training is also performed by adaptively changing a number of trainings of a stage according to automatic stopping criteria. Another aspect concerns a system for performing image detection by integrating data at different scales (i.e., different image extents) for better use of data in each scale. The system may include CNNs automatically trained using the method disclosed herein.

Inventors:

YIN QI (CN)
CAO ZHIMIN (CN)
JIA KAI (CN)

Application Number:

PCT/CN2014/091210

Publication Date:

May 19, 2016

Filing Date:

November 15, 2014

Export Citation:

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Assignee:

BEIJING KUANGSHI TECHNOLOGY CO LTD (CN)

International Classes:

G06V10/764; G06V30/194

Foreign References:

CN103093250A	2013-05-08
CN103824054A	2014-05-28
CN103824049A	2014-05-28
US20120269405A1	2012-10-25

Other References: