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All Technical Committee Conferences  (Searched in: Recent 10 Years)

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 19 of 19  /   
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
 Results 1 - 19 of 19  /   
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