Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IMQ |
2024-05-24 14:25 |
Aichi |
Higashiyama Campus, Nagoya Univ. |
Image Quality Assessment and Analysis on Glossy and Painted of 3DCG Objects Based on Material Data Set of the Shitsukan Perception Standard Problem Norifumi Kawabata (Computational Imaging Lab) |
(To be available after the conference date) [more] |
|
HIP |
2023-12-21 16:00 |
Miyagi |
Research Institute of Electrical Communication |
Effect of similarity of peripheral depth cues on the slant perception of the central surface Takuma Miyamoto, Rumi Hisakata, Hirohiko Kaneko (Tokyo Tech) HIP2023-83 |
It has been assumed that humans use various depth cues when perceiving depth. However, it is not clearly known how the ... [more] |
HIP2023-83 pp.36-38 |
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS |
2023-05-19 16:35 |
Okinawa |
Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
Towards Improving the Generalization Performance of a Face Texture Analysis AI System for Predicting Driver Drowsiness Tomoya Kubo, Tomoyuki Yokogawa, Kazutami arimoto, Masaki Hokari (Okayama Prefectural Univ.), Isao Kayano (Kawasaki University of Medical) SeMI2023-20 |
We are currently developing a Face Texture Analysis AI system that predicts driver drowsiness based on the overall impre... [more] |
SeMI2023-20 pp.94-98 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 09:20 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Relation Between Shape/Texture Biases and Double-Descent Phenomenon in Visual Recognition Shuya Takahashi (Tokyo Denki Univ./AIST), Nakamasa Inoue, Rio Yokota (Tokyo Tech), Hirokatsu Kataoka (AIST), Eisaku Maeda (Tokyo Denki Univ.) PRMU2022-60 IBISML2022-67 |
Under certain conditions, the learning performance of machine learning undergoes a strange phenomenon called double-desc... [more] |
PRMU2022-60 IBISML2022-67 pp.13-16 |
HCS |
2023-03-02 14:00 |
Shizuoka |
Tokoha University(KusanagiCampus) (Primary: On-site, Secondary: Online) |
* Rio Takahashi, Haruka Yoshida (Nihon Univ.) HCS2022-83 |
Due to the COVID-19 Disaster, stores have stopped offering product testers,, making it impossible to test the texture of... [more] |
HCS2022-83 pp.41-46 |
SP, IPSJ-SLP, EA, SIP [detail] |
2023-03-01 09:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Texture Reproduction of Ultrasonic Mid-Air Haptics Based on Amplitude Modulation Signal Generation Using Fricative Sounds Feature Extraction and Hand Tracking Asuto Ueda, Toru Takahashi, Masato Nakayama (Osaka Sangyo Univ.) EA2022-104 SIP2022-148 SP2022-68 |
We have proposed a method to reproduce the texture of an object by recording and analyzing the fricative sounds of the o... [more] |
EA2022-104 SIP2022-148 SP2022-68 pp.171-176 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 10:15 |
Hokkaido |
Hokkaido Univ. |
Text - Image Fashion Retrieval with Textural Features Daichi Suzuki (Tokyo Univ.), Go Irie (Tokyo Univ of Science), Kiyoharu Aizawa (Tokyo Univ.) ITS2022-43 IE2022-60 |
In this study, we propose a method of pre-processing on a dataset and deep learning to perform fashion retrieval conside... [more] |
ITS2022-43 IE2022-60 pp.11-16 |
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] |
|
MRIS, CPM, ITE-MMS [detail] |
2022-10-28 10:45 |
Nagano |
Shinshu Univ. (Primary: On-site, Secondary: Online) |
Electric field induced motion of magnetic skyrmions and the transformation of topological spin textures Xichao Zhang, Xiaoxi Liu (Shinshu Univ.) MRIS2022-15 CPM2022-46 |
Ultra low energy control of spin textures is the foundation for information technology. Magnetic skyrmions, magnetic vor... [more] |
MRIS2022-15 CPM2022-46 pp.37-42 |
PRMU |
2022-10-21 15:40 |
Tokyo |
Miraikan - The National Museum of Emerging Science and Innovation (Primary: On-site, Secondary: Online) |
Action Recognition of Anime Ayako Sakuma, Naoshi Kaneko, Kazuhiko Sumi (Aoyama Gakuin Univ.) PRMU2022-28 |
This paper presents an action recognition method for anime characters.
Since existing action recognition datasets focus... [more] |
PRMU2022-28 pp.35-40 |
TL |
2022-03-13 14:10 |
Online |
Online |
The Japanese Language of Food: Challenges in English Translation
-- Relationship Between Foods and Delicious Expressions Using Texture Onomatopoeia -- Nami Fukutome (Tokyo Seiei College), Lucy Takato (Translator) TL2021-39 |
The purpose of this study is to focus on onomatopoeia used to express the state of food, especially related to texture, ... [more] |
TL2021-39 pp.43-44 |
HIP, ITE-HI, ASJ-H, VRPSY [detail] |
2022-02-28 11:10 |
Online |
Online |
Effects of color attributes on visual texture perception of food Jiayun Chen, Katsunori Okajima (YNU) HIP2021-69 |
(To be available after the conference date) [more] |
HIP2021-69 pp.58-61 |
US |
2022-01-25 14:20 |
Online |
Online |
Application of Ultrasonic Vibration to Creating Texture Technology Shigeru Aoki (TMCIT), Yasunori Sakai (SIT), Tomohisa Tanaka (TIT) US2021-63 |
The purpose of the study is to develop a machining technology to create texture with high precision and efficiency on la... [more] |
US2021-63 pp.28-33 |
NC, MBE (Joint) |
2021-03-03 13:50 |
Online |
Online |
Analysis of deep convolutional neural network texture representation using Portilla-Simoncelli statistics Yusuke Hamano, Hayaru Shouno (UEC) NC2020-48 |
Recently, DCNN has achieved significant success in the field of computer vision. It is suggested that the DCNN, which ar... [more] |
NC2020-48 pp.31-36 |
HIP, VRSJ |
2021-02-18 14:55 |
Online |
Online |
Rendering method to reproduce the quality of projected object in projected AR Xie Jun, Katsunori Okajima (Yokohama National Univ.) HIP2020-78 |
In this paper, we propose a rendering method that improves the texture of an object in a projected image for high-precis... [more] |
HIP2020-78 pp.28-33 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2021-02-18 15:40 |
Online |
Online |
Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information Norifumi Kawabata (Tokyo Univ. of Science) |
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more] |
|
MBE, NC (Joint) |
2020-12-18 13:00 |
Online |
Online |
Generating haptic sensations for various ground textures to the sole Yoshiya Nakamura, Hiroki Imamura (Soka Univ.) MBE2020-19 |
Virtual Reality (VR) plays an important role in various situations such as simulation and training. In recent years, hap... [more] |
MBE2020-19 pp.1-4 |
SDM |
2020-10-22 10:50 |
Online |
Online |
High capacitance density high breakdown voltage textured deep trench SiN capacitors toward 3D integration Koga Saito, Ayano Yoshida, Rihito Kuroda (Tohoku Univ.), Hiroshi Shibata, Taku Shibaguchi, Naoya kuriyama (LAPIS Semiconductor Miyagi), Shigetoshi Sugawa (Tohoku Univ.) SDM2020-15 |
High capacitance density and High breakdown voltage textured deep trench SiN capacitors are presented. The developed cap... [more] |
SDM2020-15 pp.7-11 |
MVE |
2020-09-09 14:00 |
Online |
Online |
Shitsukan Representation Based on Kansei Model Using Neural Style Feature Natsuki Sunda, Iori Tani (Kwansei Gakuin Univ.), Kensuke Tobitani (The Univ. of Nagasaki), Atsushi Takemoto, Yusuke Tani, Noriko Nagata (Kwansei Gakuin Univ.), Nobufumi Morita (Couture Digital) MVE2020-18 |
In this research, we focus on affective texture, which comprises the visual impressions evoked by surface properties, su... [more] |
MVE2020-18 pp.38-43 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 11:35 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
Performance improvement by bone removal based on watershed algorithm and texture analysis in extravasation detection using contrast CT images Hiroki Kimura, Kumiko Arai, Yuichiro Yoshimura, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi (Chiba Univ) IMQ2019-34 IE2019-116 MVE2019-55 |
We are investigating an automatic detection method for extravasation using contrast-enhanced CT images in order to reduc... [more] |
IMQ2019-34 IE2019-116 MVE2019-55 pp.93-96 |