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Patent Searching and Data


Title:
GENERATING TRAINING DATA FOR ESTIMATING MATERIAL PROPERTY PARAMETER OF FABRIC AND ESTIMATING MATERIAL PROPERTY PARAMETER OF FABRIC
Document Type and Number:
WIPO Patent Application WO/2022/050810
Kind Code:
A1
Abstract:
Estimating a material property parameter of fabric involves receiving information including a three-dimensional (3D) contour shape of fabric placed over a 3D geometric object, estimating a material property parameter of the fabric used for representing drape shapes of 3D clothes made by the fabric by applying the information to a trained artificial neural network, and providing the material property parameter of the fabric.

Inventors:
CHOI MYUNG GEOL (KR)
JU EUN JUNG (KR)
Application Number:
PCT/KR2021/012097
Publication Date:
March 10, 2022
Filing Date:
September 07, 2021
Export Citation:
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Assignee:
CLO VIRTUAL FASHION INC (KR)
International Classes:
G06T7/40; G06N3/08; G06T7/13; G06T7/50; G06T17/20
Domestic Patent References:
WO2017203262A22017-11-30
Foreign References:
JP4793974B22011-10-12
US20110148871A12011-06-23
Other References:
SHAN YANG ET AL.: "Learning-Based Cloth Material Recovery from Video", 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV, 22 October 2017 (2017-10-22), Venice, pages 4393 - 4403, XP033283313, DOI: 10.1109/ICCV.2017.470
KATHERINE L. BOUMAN ET AL.: "Estimating the Material Properties of Fabric from Video", 2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV, 1 December 2013 (2013-12-01), Sydney, pages 1984 - 1991, XP032572914, DOI: 10.1109/ICCV.2013.455
Attorney, Agent or Firm:
MUHANN PATENT & LAW FIRM (KR)
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