文献
J-GLOBAL ID:201902236623262587
整理番号:19A1666768
透明な立体可視化における深さ認識を支援するための融合可視化と特徴強調【JST・京大機械翻訳】
Fused Visualization and Feature Highlighting to Assist Depth Recognition in Transparent Stereoscopic Visualization
著者 (10件):
Miyawaki Miwa
(Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan)
,
Aoi Daimon
(Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan)
,
Sakano Yuichi
(Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Osaka University, Suita, Japan)
,
Sakano Yuichi
(CiNet and Graduate School of Frontier Biosciences, Osaka University, Suita, Japan)
,
Lopez-Gulliver Roberto
(College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan)
,
Hasegawa Kyoko
(College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan)
,
Li Liang
(College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan)
,
Ando Hiroshi
(Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Osaka University, Suita, Japan)
,
Ando Hiroshi
(CiNet and Graduate School of Frontier Biosciences, Osaka University, Suita, Japan)
,
Tanaka Satoshi
(College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan)
資料名:
Smart Innovation, Systems and Technologies
(Smart Innovation, Systems and Technologies)
巻:
145
ページ:
197-204
発行年:
2019年
JST資料番号:
W5072A
ISSN:
2190-3018
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)