Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-07 13:15 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") (Niigata) |
Lightweight Object Detection Model for a Binary Feature Extractable CMOS Image Sensor Keiichiro Kuroda, Yudai Morikaku, Yu Osuka (Ritumeikan Univ), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima (Nisshinbo Micro Devices), Okura Syunsuke, Kota Yoshida (Ritumeikan Univ) |
For the coming Society 5.0, we propose an object detection system using a CMOS image sensor capable of extracting binary... [more] |
IST2024-27 ME2024-52 pp.23-28 |
ME |
2024-02-10 14:15 |
Online |
online (Online) |
Preliminary study on extraction of c-Fos regions from mouse brain images by use of multi-channelization, 1x1 convolution and U-net Ziyue Wang, Hibiki Okamura, Yu Hayashi, Hotaka Takizawa (Univ. of Tsukuba) |
This report proposes a method for extracting the expression regions of c-Fos protein from brain slice images of experime... [more] |
ME2024-13 pp.44-46 |
IEICE-BioX, IEICE-SIP, IEICE-IE, IST, ME [detail] |
2023-05-19 15:45 |
Mie |
Sansui Hall, Mie University (Mie, Online) (Primary: On-site, Secondary: Online) |
On-Chip Data Reduction and Object Detection for a Feature Extractable CMOS Image Sensor Yudai Morikaku (Ritsumeikan Univ.), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.) |
Society 5.0, in which information from sensors in physical space is analyzed by artificial intelligence (AI) in cyberspa... [more] |
IST2023-16 ME2023-59 pp.19-24 |
IST |
2022-09-22 16:20 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Tokyo, Online) (Primary: On-site, Secondary: Online) |
Image Classification Using Neural Network for Feature Extractable CMOS Image Sensor Kohei Yamamoto, Kota Yoshida, Shunsuke Okura (Ritsumei Univ) |
CMOS image sensors are expected to be integrated with AI using deep learning for new technologies. Our research group ha... [more] |
IST2022-39 pp.21-24 |
IEICE-SDM, IEICE-ICD, IST [detail] |
2021-08-17 13:55 |
Online |
Online (Online) |
Study of an Event-Driven CMOS Image Sensor Using Deep Learning (1)
-- Verification of Image Classification Using Low Bit-Resolution Feature Images -- Kohei Yamamoto, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.) |
Currently, CMOS image sensors are expected to be integrated with AI using deep learning to create new technologies.
C... [more] |
IST2021-43 pp.29-33 |
AIT, IIEEJ, AS, CG-ARTS |
2019-03-12 14:00 |
Tokyo |
Waseda Univ. (Tokyo) |
LinDA:Features Extraction and Classification of Line Segments for Semi-Automatic Generation of Cartoon Background Images Megumi Nomura, Masanori Nakayama, Issei Fujishiro (Keio Univ.) |
For cartoon novices, it is effective to reuse as their background images, line drawing materials drawn and opened to the... [more] |
AIT2019-139 pp.315-318 |
ME |
2018-02-24 14:15 |
Kanagawa |
Kanto Gakuin Univ. (Kanagawa) |
Automatic extraction of nose and eyes features and their adaptive drawing for facial caricature system Yuki Sakamoto, Tomoaki Nakamura, Masahide Kaneko (UEC) |
A lot of studies have been reported on automatic extraction of feature points that represent shape of each facial part f... [more] |
ME2018-66 pp.85-88 |
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-16 11:30 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Micro Scale Space Masato Suzuki, Daisuke Kitakoshi (Tokyo Kosen) |
Recognition method using local feature extraction is one of the famous strategies to general object recognition. By cons... [more] |
|
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-16 11:30 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
Accuracy Improvement of Preference Estimation for Video Using SFEM-GS Yoshiki Ito, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we present two kinds of canonical correlation analysis methods, supervised fractional-order embedding mul... [more] |
MMS2018-34 HI2018-34 ME2018-34 AIT2018-34 pp.315-318 |
AIT, IIEEJ, AS, CG-ARTS |
2017-03-14 13:00 |
Tokyo |
Ochanomizu Univ. (Tokyo) |
Commendable Casting of Actors/Actresses for Live-action Film Making: System Development and Evaluation Nozomi Hijikata, Shuto Shikama, Issei Fujishiro (Keio Univ.) |
In recent years, many live-action films have been created based on comics and animations. Best casting is a key to the s... [more] |
AIT2017-104 pp.209-212 |
AIT, IIEEJ, AS, CG-ARTS |
2017-03-14 13:00 |
Tokyo |
Ochanomizu Univ. (Tokyo) |
Analysis of Coin Falling Sound Using Machine Leaning Wataru Yokota, Yasunari Obuchi (Tokyo Univ Tech) |
As a method of discriminating invisible part information, there is a hammering test for discriminating an object using a... [more] |
AIT2017-119 pp.261-264 |
CE, MMS, AIT, HI, ME, IEICE-ITS, IEICE-IE [detail] |
2017-02-20 16:00 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A note on estimating human emotion evoked by visual stimuli using fNIRS signals Kento Sugata, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method that estimates human emotion evoked by visual stimuli using functional near-infrared spectr... [more] |
MMS2017-14 CE2017-14 HI2017-14 ME2017-38 AIT2017-14 pp.89-92 |
CE, MMS, AIT, HI, ME, IEICE-ITS, IEICE-IE [detail] |
2017-02-21 09:00 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A Comparative Evaluation of Deep Features
-- Classifier-based Learning vs. Distance Metric Learning. -- Shota Horiguchi, Daiki Ikami, Kiyoharu Aizawa (UTokyo) |
The extraction of useful deep features is important for many computer vision tasks. Deep features extracted from classif... [more] |
MMS2017-35 CE2017-35 HI2017-35 ME2017-59 AIT2017-35 pp.199-204 |
ME |
2017-02-18 14:30 |
Kanagawa |
Kanto Gakuin Univ. (Kanagawa) |
Automatic extraction of mouth area including teeth and oral cavity area from facial image
-- Use of pixelwise area estimation by Convolutional Neural Network -- Kentaro Hirabayashi, Tomoaki Nakamura, Masahide Kaneko (UEC) |
A caricature is a medium expressing the facial features of a person briefly, and since it is used in various scenes, stu... [more] |
ME2017-17 pp.63-66 |
IEICE-MRIS, MMS |
2016-06-10 09:00 |
Miyagi |
Tohoku Univ. (Miyagi) |
Open digital archive system that enables the extraction of a variety of feature amount information Yuya Sato, Fumio Teraoka, Kunitake Kaneko (Keio Univ.) |
Recently, it is popular for museums, libraries, and broadcasting companies to digitalize and archive their contents. Onc... [more] |
MMS2016-46 pp.45-52 |
HI, IEICE-IE, AIT, IEICE-ITS, ME, MMS, CE [detail] |
2016-02-23 12:00 |
Hokkaido |
Hokudai (Hokkaido) |
A Note on Helicobacter Pylori Infection Detection from Gastric X-ray images (2)
-- Introduction of Effective Image Feature Based on Serum Hp Antibody Level and Serum PG Levels -- Kenta Ishihara, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose an accurate detection method of Helicobacter pylori (H. pylori) infection based on new image f... [more] |
MMS2016-39 CE2016-39 HI2016-39 ME2016-72 AIT2016-39 pp.329-332 |
ME |
2016-02-20 11:00 |
Kanagawa |
Kanto Gakuin Univ. (Kanagawa) |
Automatic extraction of nares and wings of the nose for computerized facial caricature system Yuki Sakamoto, Tomoaki Nakamura, Masahide Kaneko (UEC) |
Accurate detection of facial feature points from photograph is crucial to analyze facial features and to synthesize impr... [more] |
ME2016-3 pp.9-12 |
ME |
2015-02-28 11:45 |
Kanagawa |
Kanto Gakuin Univ. (Kanagawa) |
Evaluation of Wrong Extraction Results of Facial Feature Points in Automatic Caricature System
-- Utilization of Principal Component Analysis Method -- Nei Kou, Tomoaki Nakamura, Masahide Kaneko (UEC) |
The authors have developed an automatic caricature system using the principal component analysis for facial feature poin... [more] |
ME2015-48 pp.49-52 |
ME |
2015-02-28 14:45 |
Kanagawa |
Kanto Gakuin Univ. (Kanagawa) |
Reduction of Restrictions on Shooting Conditions for Automatic Synthesis of Facial Caricatures
-- Toward Robust Extraction of Hair and Eyebrows -- Kentaro Hirabayashi, Tomoaki Nakamura, Masahide Kaneko (UEC) |
An accurate detection of facial features is crucial to analyze them and to synthesize impressive caricatures by computer... [more] |
ME2015-60 pp.95-98 |