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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 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IEICE-HIP, HI, VRPSY [detail] 2025-02-20
14:20
Ehime UNIVERSITY OF HUMAN ENVIRONMENTS (Ehime) Effect of visual features of VR avatars and cognitive load on audiovisual integretion-based sound localization
Kouryu Suenobu, Hiroaki Shigemasu (KUT)
(To be available after the conference date) [more]
IIEEJ, AIT 2023-06-04
10:40
Tokyo TOKYO CITY UNIVERSITY (Tokyo, Online)
(Primary: On-site, Secondary: Online)
A Method for Counting Passing People Using Person Detection Based on a Combination of Difference Images and Region Growing
Mirai Amo, Youngha Chang, Nobuhiko Mukai (TCU), Yasuzo Tanaka (Takiguchi Corporation)
In this study, we propose a method to measure the number of people based on a bird’s-eye movie. Local Binary Patterns (L... [more] AIT2023-137
pp.51-54
IIEEJ, AIT 2022-10-30
16:20
Online on line (Online) Local Feature Alignment with Attention Mechanism for Cow Re-Identification
Feifan Zhang, Yota Yamamoto, Yukinobu Taniguchi (TUS)
The purpose of this research is to improve the accuracy of dairy cows’ individual identification by image recognition us... [more] AIT2022-178
pp.23-26
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
13:45
Hokkaido Hokkaido Univ. (Hokkaido) A Note on Eye Gaze-based Estimation of Emotion Evoked by Watching Images -- Performance Improvement via Feature Transformation Based on KDLPCCA --
Taiga Matsui, Naoki Saito, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.)
This paper presents an estimation method for emotion evoked by watching images focused on non-linear correlations of bet... [more] MMS2019-39 HI2019-39 ME2019-61 AIT2019-39
pp.323-327
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
CE, MMS, AIT, HI, ME, IEICE-ITS, IEICE-IE [detail] 2017-02-20
14:45
Hokkaido Hokkaido Univ. (Hokkaido) A Note on Accurate Extraction of Concept Relationships Using Tagged Images
Shota Hamano, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for accurate extraction of concept relationships using tagged images. Previous methods extr... [more] MMS2017-10 CE2017-10 HI2017-10 ME2017-34 AIT2017-10
pp.67-70
CE, MMS, AIT, HI, ME, IEICE-ITS, IEICE-IE [detail] 2017-02-20
15:00
Hokkaido Hokkaido Univ. (Hokkaido) Speed-up Techniques of Pictogram Matching using Local Shape Descriptor
Kurumi Kaminishi, Terumasa Aoki (Tohoku Univ.)
Pictogram, which is a simple picture-based symbol, is widely used to indicate important facilities (such as “rest room”)... [more] MMS2017-11 CE2017-11 HI2017-11 ME2017-35 AIT2017-11
pp.71-76
ME 2017-02-18
11:15
Kanagawa Kanto Gakuin Univ. (Kanagawa) Accurate Feature Point Tracking using Local Invariant Features for Omnidirectional Image Sequence
Hiroshi Tada, Koichi Ichige (YNU)
In this paper, we propose a highly accurate feature point tracking method for omnidirectional image sequence. It is ofte... [more] ME2017-4
pp.13-16
AIT, IIEEJ 2016-08-26
15:20
Hokkaido FUTURE UNIVERSITY HAKODATE (Hokkaido) Automated retinal blood vessel extraction based on black-hat transformation and high-order local autocorrelation
Yuji Hatanaka, Kazuki Samo, Kazunori Ogohara (Univ. Shiga Prefecture), Chisako Muramatsu (Gifu Univ.), Wataru Sunayama (Univ. Shiga Prefecture), Hiroshi Fujita (Gifu Univ.)
An automated blood vessel extraction using high-order local autocorrelation (HLAC) on retinal images is presented. The b... [more] AIT2016-144
pp.27-30
ME 2016-02-20
14:25
Kanagawa Kanto Gakuin Univ. (Kanagawa) Content Based Image Retrieval using color information
Takuya Nishimoto, Shota Nakamura, Yoshiki Mizukami (Yamaguchi Univ.)
Local features as represented by Scale-Invariant Feature Transform are generally used for Content Based Image Retrieval.... [more] ME2016-28
pp.105-108
 Results 1 - 11 of 11  /   
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