Title:
EXTERNAL FIELD RESPONSE DISTRIBUTION VISUALIZATION DEVICE AND EXTERNAL FIELD RESPONSE DISTRIBUTION VISUALIZING METHOD
Document Type and Number:
WIPO Patent Application WO/2021/107085
Kind Code:
A1
Abstract:
This external field response distribution visualization device (100) comprises: an induction circuit (110) for inducing a first field component from each of a plurality of induction positions; a sensor (130) which senses the intensity of a field at a plurality of sensing positions with respect to the plurality of induction positions; and an information processing circuit (150) which generates an image showing an external field response distribution. The information processing circuit (150) calculates, by using a sensing result as a boundary condition, an induction position-dependent field function to which an induction position and a sensing position are inputted and from which the intensity of a field is outputted, calculates an imaging function to which an imaging object position is inputted, from which an image intensity is outputted, and which is defined on the basis of the intensity outputted from the induction position-dependent field function when the imaging object position is inputted to the induction position-dependent field function, and generates an image on the basis of said imaging function.
Inventors:
KIMURA KENJIRO (JP)
MIMA YUKI (JP)
SUZUKI SHOGO (JP)
KIMURA NORIAKI (JP)
MIMA YUKI (JP)
SUZUKI SHOGO (JP)
KIMURA NORIAKI (JP)
Application Number:
PCT/JP2020/044193
Publication Date:
June 03, 2021
Filing Date:
November 27, 2020
Export Citation:
Assignee:
UNIV KOBE NAT UNIV CORP (JP)
INTEGRAL GEOMETRY SCIENCE INC (JP)
INTEGRAL GEOMETRY SCIENCE INC (JP)
International Classes:
G01R33/10; G01R33/16
Domestic Patent References:
| WO2013002233A1 | 2013-01-03 | |||
| WO2017086325A1 | 2017-05-26 | |||
| WO2018225028A2 | 2018-12-13 |
Foreign References:
| JP2018523130A | 2018-08-16 | |||
| US20150293193A1 | 2015-10-15 | |||
| US20140218036A1 | 2014-08-07 |
Other References:
NAKATANI TOTA , MIMA YUKI , SUZUKI SHOGO , SAKAKURA RYOTA , KIMURA KENJIRO , OZAWA SEIICHI : "Advancement of Magnetic Field Distribution Image Analysis for Super Security Gate Using Deep Learning", PROCEEDINGS OF THE 64TH ANNUAL CONFERENCE OF THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS; ONLINE; MAY 20-22, 2020, vol. 64, 22 May 2020 (2020-05-22) - 22 May 2020 (2020-05-22), pages 489 - 495, XP009535796
See also references of EP 4067924A4
See also references of EP 4067924A4
Attorney, Agent or Firm:
NII, Hiromori (JP)
Download PDF: