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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 90  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-20
12:45
Hokkaido Hokkaido Univ. 3D CG Coded Image Noise Removal and Quality Assessment Based on Optimal Design of Total Variation Regularization
Norifumi Kawabata (Kanazawa Gakuin Univ.) ITS2023-67 IE2023-56
Sparse coding techniques, which reproduce and represent images with as few combinations as possible from a small amount ... [more] ITS2023-67 IE2023-56
pp.112-117
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
14:45
Hokkaido Hokkaido Univ. Statistical Analysis on HEVC Image Quality for Contrast and Rotation Component of 3D CG Objects Based on Material Data Set of the Shitsukan Perception Standard Problem
Norifumi Kawabata (Computational Imaging Lab)
When humans perceive a 3D object, they visually check the surface of the object and evaluate the shape and condition of ... [more]
WIT, ASJ-H 2023-02-18
12:00
Online Online Differences in Discrimination between Tactile Symbols Created by Two Different Methods -- Capsule Paper and High-Definition Tactile Graphics Printer --
Shu Mineta, Tetsuya Watanabe (Niigata Univ.) WIT2022-17
An experiment was conducted on sighted and blind participants to clarify whether the rate of correct responses and respo... [more] WIT2022-17
pp.20-25
NC, NLP 2023-01-28
13:35
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
On a method to speed up live fractal/chaos generation
Yoichi Nagashima (SUAC) NLP2022-87 NC2022-71
Regarding "mathematical modeling" design applying fractals and chaos, the author reported "Wellness Entertainment with T... [more] NLP2022-87 NC2022-71
pp.30-35
SIS 2022-12-05
16:00
Osaka
(Primary: On-site, Secondary: Online)
Accuracy Improvement of Real Image Classification by Style Transfer Using Training Data Created from 3DCG
Takeru Inoue, Youichi Tomita (Meiji Univ.), Kouji Gakuta, Etsuji Yamada, Aoi Kariya (Digital Printing & Solutions), Masakazu Kinosada, Yujiro Kitaide (Shinsei Printing), Ryusuke Miyamoto (Meiji Univ.) SIS2022-30
In general, in order to achieve sufficient accuracy by machine learning in practical applications, training data appropr... [more] SIS2022-30
pp.38-43
ET 2022-09-17
11:00
Hiroshima Hiroshima University and Online
(Primary: On-site, Secondary: Online)
Development of an AR-based learning support system for spatial figures that is aware of viewpoint change and knowledge utilization
Riku Kuwabara, Yukihiro Matsubara, Masaru Okamoto, Kosuke Mouri (HCU) ET2022-12
It is considered important for learning spatial figures to be based on the consideration of figures through activities s... [more] ET2022-12
pp.9-14
PRMU, IPSJ-CVIM 2022-05-13
15:05
Aichi Toyota Technological Institute Automated original drawing tracing for animation
Iori Shioya, Masayuki Kashima, Shinya Fukumoto, Mutsumi Watanabe (Kagoshima Univ.) PRMU2022-7
This paper proposes an automatic system for cleaning up images. The system attempts to improve the existing cleanup proc... [more] PRMU2022-7
pp.36-41
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-10
18:05
Online Online (Zoom) Diminished reality that combines observation and inpainting based methods
Taiki Kato, Naoya Isoyama (Naist), Norihiko Kawai (Oit), Hideaki Uchiyama (Naist), Nobuchika Sakata (Ryukoku Univ.), Kiyoshi Kiyokawa (Naist) IMQ2021-47 IE2021-109 MVE2021-76
In contrast to Augmented Reality (AR), which visually adds objects to the real world, there is a technology called Dimin... [more] IMQ2021-47 IE2021-109 MVE2021-76
pp.193-198
SAT, SANE
(Joint)
2022-02-25
10:55
Online Online Acceleration of local histogram generation for change detections in satellite SAR images using CPU-integrated graphics processor
Masato Gocho (Mitsubishi Electric), Kazunori Ueda (Waseda Univ.) SANE2021-101
This paper presents OpenCL-based parallel implementations with CPU-integrated graphics processors for change detection a... [more] SANE2021-101
pp.21-25
SWIM 2022-02-18
16:00
Online Online Training Data Generation Method for Object Recognition from Free Direction -- Two Approaches Utilizing Video and CG --
Masatomo Ozeki, Ayaka Kumeta, Tsukasa Kudo (SIST) SWIM2021-38
Object recognition utilizing deep learning is widely applied in various fields. On the other hand, the preparation of tr... [more] SWIM2021-38
pp.51-58
SWIM 2021-11-27
15:55
Online Online Contour Detection Method Using CycleGAN with CG Images as Ground Truth
Tsukasa Kudo (SIST) SWIM2021-29
In object detection from images, contour detection methods with pixel by pixel manner by using GAN have been proposed. H... [more] SWIM2021-29
pp.23-28
MVE 2021-09-18
11:30
Online Online [Short Paper] A Study of Education method of Sound Compose for Immersive animation based on remote Communication -- Collaboration of Animation on multi-screen display "CAVE" and computer Music --
Suma Noji, Asako Miyaki, Takuya Kanna (Shobi Univ.) MVE2021-20
In a situation where face-to-face lessons are difficult, students collaborate in a practice lesson between two departmen... [more] MVE2021-20
pp.60-61
ITS, IEE-ITS 2020-03-10
16:40
Shiga Ritsumeikan Univ. (BKC)
(Cancelled but technical report was issued)
Evaluation of Speed Perception of Real Image Type and CG Type Driving Simulators Taking into Account Steering Operation
Makoto Murakami, Haruki Kawanaka (Aichi Pref Univ.), Shintaro Ono (HRI-JP), Koji Oguri (Aichi Pref Univ.) ITS2019-69
In general driving simulators (DS) constructed with CG, there is a concern that there is a gap with real driving due to ... [more] ITS2019-69
pp.87-92
IMQ 2019-12-20
16:20
Tokyo   A Preliminary Study on BTF Image Database Generation using Deep Learning
Naoki Tada, Keita Hirai (Chiba Univ.) IMQ2019-10
A method using Bidirectional Texture Function (BTF) is one of the methods to reproduce a realistic image in Computer Gra... [more] IMQ2019-10
pp.3-8
WIT, SP 2019-10-26
13:30
Kagoshima Daiichi Institute of Technology Japanese to Japanese Sign Language(JSL)Machine Translation based on SyntacticTransfer
Naoto Kato, Shuichi Umeda, Tsubasa Uchida (NHK) SP2019-17 WIT2019-16
Japanese Sign Language (JSL) is the first language for deaf people in Japan, especially those born deaf or who lost hear... [more] SP2019-17 WIT2019-16
pp.1-6
WIT 2017-08-28
13:50
Akita Faculty of Engineering Science, Akita Univ. A User Survey of the Tactile Graphics Conversion Service for the Blind
Tetsuya Watanabe (Niigata Univ.), Makoto Kobayashi (Tsukuba Univ. of Tech.), Kazunori Minatani (DNC) WIT2017-14
Visual graphics can be accessible by raising the lines of the graphics and converting printed letters into Braille. When... [more] WIT2017-14
pp.1-5
WIT 2017-08-28
16:10
Akita Faculty of Engineering Science, Akita Univ. Improvement and Evaluation of a Machine Translation System from Japanese Texts to Sign Language CG Animations for Weather News
Naoto Kato, Taro Miyazaki (NHK), Seiki Inoue (NHK-MT), Tsubasa Uchida, Makiko Azuma, Shuichi Umeda, Yuko Yamanouchi, Hideki Sumiyoshi (NHK), Nobuyuki Hiruma (NHK-ES), Yuji Nagashima (Kogakuin Univ.) WIT2017-19
We have been developing a machine translation system from Japanese texts to Japanese Sign Language (JSL) CG animations f... [more] WIT2017-19
pp.27-32
ICD, CPSY 2016-12-15
15:30
Tokyo Tokyo Institute of Technology [Poster Presentation] Characteristics and circuit applications of local moving average curves
Takeshi Shimada, Masayuki Ikebe, Yuhan Fu, Shinya Takamaeda, Tetsuya Asai, Masato Motomura (Hokkaido Univ.) ICD2016-82 CPSY2016-88
(To be available after the conference date) [more] ICD2016-82 CPSY2016-88
p.91
ICD, CPSY 2016-12-16
10:40
Tokyo Tokyo Institute of Technology [Invited Talk] R&D activity and future direction in Japanese GPU start up venture company
Eisaku Ohbuchi (DMP) ICD2016-93 CPSY2016-99
In this paper, we introduce a SoC development case with GPU core technology which is developed by Japanese GPU startup v... [more] ICD2016-93 CPSY2016-99
pp.129-130
IMQ, HIP 2016-07-29
13:25
Hokkaido Sapporp City Univ. Making of Paper Craft Mask Using 3D Scanning Data
Kosuke Matsunaga (SCU) IMQ2016-10 HIP2016-36
We have a workshop of making a realistic mask using 3D measurement device. Feature of this workshop is possible to bring... [more] IMQ2016-10 HIP2016-36
pp.25-28
 Results 1 - 20 of 90  /  [Next]  
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