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Patent Searching and Data


Title:
MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND INFERENCE DEVICE
Document Type and Number:
WIPO Patent Application WO/2022/064660
Kind Code:
A1
Abstract:
A machine learning program according to an embodiment of the present invention causes a computer to execute a process for generating a trained model and a process for generating a third model. The process for generating the trained model generates the trained model by, in response to the input of training data including a set of a first image and a second image, and a first label indicating which of the first image and the second image shows greater movement of the facial expression muscles of a subject, executing machine learning using a first model based on the first label, a first output value obtained by inputting the first image to the first model, and a second output value obtained by inputting the second image to a second model that shares a parameter with the first model. The process for generating the third model generates the third model through machine learning based on a third output value obtained by inputting a third image to the trained model and a second label indicating the intensity or presence/absence of movement of the facial expression muscles of the subject included in the third image.

Inventors:
SAITO JUNYA (JP)
UCHIDA AKIYOSHI (JP)
MURASE KENTARO (JP)
Application Number:
PCT/JP2020/036456
Publication Date:
March 31, 2022
Filing Date:
September 25, 2020
Export Citation:
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Assignee:
FUJITSU LTD (JP)
International Classes:
G06T7/00
Foreign References:
CN109657586A2019-04-19
JP2014119879A2014-06-30
US20190294868A12019-09-26
JP2020057111A2020-04-09
JP2018036734A2018-03-08
Other References:
Y ANG, PENG ET AL.: "RankBoost with 11 regularization for Facial Expression Recognition and Intensity Estimation", 2009 IEEE 12TH INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV, pages 1018 - 1025, XP031672701, Retrieved from the Internet [retrieved on 20201130]
SU LUMEI, SATO YOICHI: "Early facial expression recognition using early RankBoost", 2013 10TH IEEE INTERNATIONAL CONFERENCE AND WORKSHOPS ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG), IEEE, 1 April 2013 (2013-04-01), pages 1 - 7, XP055922220, ISBN: 978-1-4673-5545-2, DOI: 10.1109/FG.2013.6553740
See also references of EP 4220546A4
Attorney, Agent or Firm:
SAKAI INTERNATIONAL PATENT OFFICE (JP)
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