Title:
MACHINE LEARNING-BASED OCCLUDED FACE RECOGNITION SYSTEM AND METHOD, AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2019/153175
Kind Code:
A1
Abstract:
A machine learning-based occluded face recognition system and method, and a storage medium. The system comprises an image acquisition unit (1), a machine learning unit (2), a database (3), and a parameter comparison unit (4); the image acquisition unit (1) acquires a face image to be recognized and sends same to the machine learning unit (2); the machine learning unit (2) trains the face image to be recognized by using machine learning technology, and obtains a feature set, a feature subset, and a weight parameter of the face image to be recognized and sends same to the parameter comparison unit (4); the database (3) stores training data sets and training data subsets of a large number of of face images; the parameter comparison unit (4) compares the feature set of the face to be recognized with the training data sets and the training data subsets in the database so as to recognize the face. According to the system and method, and the storage medium, machine learning technology is adopted, the application of artificial intelligence is widened; an occluded face can be more accurately recognized, and the recognition efficiency and accuracy are improved.
Inventors:
CHEN SHAOWEI (CN)
LIANG JIE (CN)
LIANG JIE (CN)
Application Number:
PCT/CN2018/075772
Publication Date:
August 15, 2019
Filing Date:
February 08, 2018
Export Citation:
Assignee:
NATIONZ TECHNOLOGIES INC (CN)
International Classes:
G06K9/00
Foreign References:
| CN102855496A | 2013-01-02 | |||
| CN106355138A | 2017-01-25 | |||
| CN106096535A | 2016-11-09 | |||
| CN107292287A | 2017-10-24 | |||
| CN107016370A | 2017-08-04 | |||
| CN106951826A | 2017-07-14 | |||
| CN107066955A | 2017-08-18 | |||
| CN106485215A | 2017-03-08 |
Attorney, Agent or Firm:
BEIJING LAWSING IP FIRM (CN)
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