| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME |
2026-02-28
11:45 |
Online |
online |
Quantitative Analysis of Ukiyo-e and Baroque Paintings Using Color and Texture Features
Harumi Suzuki, Yasuyuki Saito (NIT,Kisarazu College) |
This study aims to quantitatively evaluate stylistic differences between Ukiyo-e and Baroque paintings using image proce... [more] |
ME2026-43
pp.21-24 |
| IST |
2025-09-18
15:50 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Optimization of Lightweight CNNs Using Feature Images for Edge Devices
Yu Osuka, Ryoya Iegaki, Kota Yoshida, Shunsuke Okura (Ristumeikan Univ.) |
This study investigates lightweight CNN design toward the realization of a feature-extractable CMOS image sensor. First,... [more] |
IST2025-45
pp.37-40 |
| IIEEJ, AIT |
2025-06-30
16:10 |
Nagano |
(Primary: On-site, Secondary: Online) |
The Influence of Local Feature Extraction on Outlier Removal Using Local Weak Geometric Consistency
Yuto Sugisaki, Takaharu Kato, Atsushi Koike (Seikei Univ.) |
In general, outliers in feature matching are removed based on geometric consistency. However, considering the impact on ... [more] |
AIT2025-171
pp.15-18 |
| IIEEJ, AIT |
2025-07-01
09:00 |
Nagano |
(Primary: On-site, Secondary: Online) |
Implementation of LiDAR SLAM Based on the Probability Distribution of Point Clouds
Tatsuki Uchida, Munetoshi Iwakiri (NDA) |
Simultaneous Localization and Mapping (SLAM) is an essential technology that enables robots to autonomously navigate unk... [more] |
AIT2025-176
pp.35-38 |
| IIEEJ, AIT |
2025-07-01
09:20 |
Nagano |
(Primary: On-site, Secondary: Online) |
A Study on Derivation of Recommended Parameters for Feature Calculation for 3D Point Clouds
Shogo Kaneko (Shinshu Univ), Munetoshi Iwakiri (NDA), Kiyoshi Tanaka (Shinshu Univ) |
A method for extracting the contours of archaeological remains from 3D point clouds has been proposed to support the cre... [more] |
AIT2025-177
pp.39-42 |
| IST, ME, IEICE-IE, IEICE-BioX, IEICE-SIP, IEICE-MI [detail] |
2025-06-05
13:00 |
Ishikawa |
|
A Study on 2-Directions-Edge-Feature-Extractable CMOS Image Sensor Pixels
Hiroki Morita, Koki Fujiwara, Ryoya Iegaki (Ritsumeikan Univ.), Ryuichi Ujiie, Hideki Shima (Nisshinbo Micro Devices), Shunsuke Okura (Ritsumeikan Univ.) |
For the coming IoT society, we have proposed a CMOS image sensor pixel that can extract horizontal edge features in addi... [more] |
IST2025-23 ME2025-61
pp.7-12 |
| IST, ME, IEICE-IE, IEICE-BioX, IEICE-SIP, IEICE-MI [detail] |
2025-06-05
13:25 |
Ishikawa |
|
A Study of Object Detection Model Compression Methods for Features Extractable CMOS Image Sensors
Ryoya Iegaki, Keiichiro Kuroda, Yu Osuka (Ritsumeikan Univ), Ryuichi Ujiie, Hideki Shima (Nisshinbo), Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ) |
We examine the quantization and pruning of object detection models for CMOS image sensors capable of feature extraction.... [more] |
IST2025-24 ME2025-62
pp.13-17 |
| IST |
2025-03-21
11:05 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
Lightweight Object Detection Model for a CMOS Image Sensor with Binary Feature Extraction
Keiichiro Kuroda, Yudai Morikaku, Yu Osuka, Ryoya Ieagaki, Kota Yoshida, Shunsuke Okura (Ritumeikan Univ) |
For the coming of IoT age, we have proposed an object detection system using a CMOS image sensor with binary feature ext... [more] |
IST2025-11
pp.7-8 |
| ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-07
13:15 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
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 |
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
(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.
(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 |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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 |