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Title:
HUMAN FACE DETECTION METHOD AND HUMAN FACE DETECTION SYSTEM
Document Type and Number:
WIPO Patent Application WO/2019/091271
Kind Code:
A1
Abstract:
A human face detection method and a human face detection system. The human face detection method comprises the following steps: establishing a convolutional neural network framework, the convolutional neural network framework at least comprising a candidate region generating network, a correction network and a multi-information output network; connecting the convolutional neural network framework to a data preparation module; running the candidate region generating network, and generating multiple first human face candidate region frames; running the correction network, screening the first human face candidate region frames, correcting the positions of residual first human face candidate region frames, and performing non-maximum suppression; and running the multi-information output network, screening the first human face candidate region frames, correcting the positions of the residual first human face candidate region frames, performing non-maximum suppression, and outputting human face feature points and human facial poses corresponding to the residual first human face candidate region frames and the first human face candidate region frames.

Inventors:
JIN ZHAOLONG (CN)
ZHAO BO (CN)
CHEN WEIDONG (CN)
Application Number:
PCT/CN2018/110703
Publication Date:
May 16, 2019
Filing Date:
October 17, 2018
Export Citation:
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Assignee:
SUZHOU KEDA TECHNOLOGY CO LTD (CN)
International Classes:
G06K9/00; G06N3/04
Foreign References:
CN107886074A2018-04-06
CN105912990A2016-08-31
CN107239736A2017-10-10
Other References:
QIAN, CHENG: "Research on Deep Learning Based Face Recognition", ELECTRONIC TECHNOLOGY & INFORMATION SCIENCE , CHINA MASTER S THESES FULL-TEXT DATABASE, 15 July 2017 (2017-07-15), pages 26 - 31, ISSN: 1674-0246
Attorney, Agent or Firm:
SUNSHINE INTELLECTUAL PROPERTY INTERNATIONAL CO., LTD (CN)
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