Method for creating deep learning datasets to improve accuracy of depth images

Murayama, Masahiro*; Harazono, Yuki*; Ishii, Hirotake*; Shimoda, Hiroshi*; Taruta, Yasuyoshi ; Koda, Yuya

no abstracts in English

Language	:	Japanese
Journal	:
Volume	:
Number	:
Pages	:
Publication Year/Month	:
Meeting title	:	第196回ヒューマンインタフェース学会研究会「産業安全のヒューマンファクターズおよび一般(SIGMAS-14)」
Held date	:	2022/11
Location (city)	:	東京
Location (country)	:	日本
Patent information	:
PDF	:
Paper URL	:
DOI for research data	:
Keywords	:	Depth Image; Noise Removal; Deep Learning
Research Facility	:	ふげん(新型転換炉原型炉)
Press Release	:
Article of JAEA R&D Review	:
Cooperating Institute	:	京都大学

Accesses	:	- Accesses
Web of Science® Times Cited Count	:	Times Cited Count： If you would like to get the latest times cited, please access the Web of Science®. http://www.webofknowledge.com/wos
InCites™	:
Altmetrics	:

Registration No. : BB20230157
JAEA Abstracts No. :
Paper Submission No. :

[CLARIVATE ANALYTICS], [WEB OF SCIENCE], [HIGHLY CITED PAPER & CUP LOGO] and [HOT PAPER & FIRE LOGO] are trademarks of Clarivate Analytics, and/or its affiliated company or companies, and used herein by permission and/or license.