Title:
FACE FEATURE POINT DETECTION METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2020/037898
Kind Code:
A1
Abstract:
A face feature point detection method and apparatus, a computer device, and a storage medium. The method comprises: dividing a sample data set into a training data set and a test data set according to a preset division ratio; training a face detection model comprising K parallel convolutional layers, a concatenate layer, and a global pooling layer by means of the training data set; testing the face detection model by means of the test data set, and calculating the positioning accuracy of the face detection model for face feature points according to the test result; if the positioning accuracy is less than a preset accuracy threshold, re-dividing the sample data set and performing re-training and re-test until the positioning accuracy is greater than or equal to the preset accuracy threshold; and inputting a face image to be detected into the well-trained face detection model for calculation to obtain a feature point prediction result of the face image. The method can effectively improve the positioning capability and prediction accuracy of a face detection model for face feature points.
Inventors:
DAI LEI (CN)
Application Number:
PCT/CN2018/120857
Publication Date:
February 27, 2020
Filing Date:
December 13, 2018
Export Citation:
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06K9/00
Foreign References:
| CN107871099A | 2018-04-03 | |||
| CN107423690A | 2017-12-01 | |||
| CN106951840A | 2017-07-14 | |||
| CN105389573A | 2016-03-09 |
Attorney, Agent or Firm:
SHENZHEN ZHONGDING INTELLECTUAL PROPERTY AGENCY (CN)
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