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Title:
MACHINE LEARNING DEVICE AND IMAGE PROCESSING DEVICE
Document Type and Number:
WIPO Patent Application WO/2022/044369
Kind Code:
A1
Abstract:
This machine learning device includes a far-infrared image teacher data acquisition unit 20 that acquires a far-infrared image of a first predetermined time period. A visible light image teacher data acquisition unit 30 acquires a visible light image of a second predetermined time period. A visible light image generation model learning unit 40 performs machine learning by a hostile generation network using the far-infrared image of the first predetermined time period and the visible light image of the second predetermined time period as teacher data, then generates a learned generation model 60 for generating a visible light image of the second predetermined time period from the far-infrared image of the first predetermined time period. The visible light image generation model learning unit 40 also generates a learned identification model 70 for identifying whether a far-infrared image is a far-infrared image captured in the first predetermined time period by performing machine learning by the hostile generation network.

Inventors:
TAKEHARA HIDEKI (JP)
KIDA SHINGO (JP)
YANG YINCHENG (JP)
Application Number:
PCT/JP2021/003569
Publication Date:
March 03, 2022
Filing Date:
February 01, 2021
Export Citation:
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Assignee:
JVCKENWOOD CORP (JP)
International Classes:
G06T7/00; H04N7/18
Domestic Patent References:
WO2019176235A12019-09-19
Foreign References:
JP2019046276A2019-03-22
JP6663524B12020-03-11
JP2019071050A2019-05-09
JP2006333337A2006-12-07
JP2016122905A2016-07-07
Other References:
See also references of EP 4191521A4
Attorney, Agent or Firm:
MORISHITA Sakaki (JP)
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