IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MoNA 2018-12-25
14:00
Tokyo   Emotions detection scheme using facial skin temperature and heart rate
Kahil Mustafa Jamal S, Eiji Kamioka (SIT) MoNA2018-47
The main aim of this study is to detect emotions based on facial skin temperature and Heart Rate (HR) Using thermals cam... [more] MoNA2018-47
pp.49-54
PRMU, CNR 2015-02-19
16:20
Miyagi   [Poster Presentation] Facial Point Detection Based on Deep Convolutional Neural Network with Optimal Minibatch
Masatoshi Kimura, Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) PRMU2014-127 CNR2014-42
We propose a Convolutional Neural Network (CNN)-based method to ensure both robustness to variations in facial pose.
Al... [more]
PRMU2014-127 CNR2014-42
pp.87-88
CQ, MVE, IE, IMQ, CEA
(Joint) [detail]
2014-03-07
14:55
Oita Beppu International Convention Center Scene Duplicate Detection from News Videos by Sub-Region-based Motion Matching of a Face
Haruka Kumagai (Nagoya Univ.), Keisuke Doman (Chukyo Univ.), Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) IMQ2013-75 IE2013-184 MVE2013-113
In this report, we propose a method to detect scene duplicates from news videos. Scene duplicates are video clips taking... [more] IMQ2013-75 IE2013-184 MVE2013-113
pp.249-254
HCGSYMPO
(2nd)
2013-12-18
- 2013-12-20
Ehime Matsuyama Multi-Purpose Community Cente Identification method of author of illustration image with using the face of the character
Akira Fujisawa, Kazuyuki Matsumoto, Minoru Yoshida, Kenji Kita (Univ of Tokushima)
Recently, people can draw a lot of pictures by using digital devices because of the expansion of a computer. Meanwhile, ... [more]
SIS 2012-03-02
09:20
Tokyo Shibuya Satellite Class, Tokyo City Univ. Facial wrinkle detection using empirical mode deomposition
Yoshinari Wakamiya, Koichi Takahashi, Yasue Mitsukura, Nozomu Hamada (Keio Univ.) SIS2011-67
For advanced human--computer interaction, recognizing subtle facial expressions is the important challenge.It seems to b... [more] SIS2011-67
pp.79-82
PRMU, DE 2011-06-06
14:00
Kanagawa   Efficient Emotional Video Scene Detection by Selecting and Integrating Concise Facial Features
Hiroki Nomiya, Teruhisa Hochin (KIT) DE2011-7 PRMU2011-38
For the purpose of rapid retrieval of impressive video scenes including emotional expressions of human beings, this pape... [more] DE2011-7 PRMU2011-38
pp.37-42
CQ, MVE, IE
(Joint) [detail]
2011-03-07
10:55
Nagasaki Yasuragi IOUJIMA Facial Expression Recognition Algorithm for Reaction Scene Detection by Contents Viewer
Midori Shinkaku, Airi Sonehara, Akihisa Kodate (Tsuda College), Tatsuya Yamazaki (NICT), Soma Mitra (C-DAC), Eriko Watanabe (Univ. of Electro-Comm.), Kashiko Kodate (Japan Women's Univ.) IE2010-164 MVE2010-152
With the rapid increase of various digital contents over the Internet, the demand to design and build more user friendly... [more] IE2010-164 MVE2010-152
pp.107-112
MVE 2009-11-12
15:05
Osaka Osaka Institute of Technology Study of head rotation angle and capture distance for breathing detection using FIR camera
Taisuke Koide, Shingo Yamakawa, Hideharu Yamamoto, Kei Suzuki, Dai Hanawa, Kimio Oguchi (Seikei Univ.) MVE2009-63
Currently, we are researching non-invasive breathing detection method using far infrared (FIR) images. Before now, we co... [more] MVE2009-63
pp.23-24
PRMU 2009-02-19
11:30
Tokyo Univ. of Tokyo (IIS) Improvement of face Identification by using Image Sequence
Molin Du (Sokendai), Xiaomeng Wu, Hiroshi Mo, Shin'ichi Satoh (NII) PRMU2008-215
We developed two novel techniques to improve the performance of full automatic face identification in video. Our proposa... [more] PRMU2008-215
pp.43-48
PRMU, HIP 2007-02-23
10:00
Kanagawa   Automatic Facial Feature Point Detection for Face Recognition from a Single Image
Mayumi Yuasa, Tomoyuki Takeguchi, Tatsuo Kozakaya, Osamu Yamaguchi (Toshiba)
We propose an automatic detection method of facial feature point for face recognition from a single image. In this paper... [more] PRMU2006-222 HIP2006-115
pp.5-10
MI 2007-01-26
16:50
Overseas the Cheju National Univ. Automatic Extraction of Facial Feature points from Orthogonal Color Images for Surgical Planning
M. Shamsi (Univ. of Tehran/Univ. of the Ryukyus), R. A. Zoroofi, Caro Lucas, M. Sadeghi Hasanabadi (Univ. of Tehran), M. R. Asharif (Univ. of Ryukyus)
Recent advances in digital human technology combined with the broad availability of high performance computer graphics h... [more] MI2006-127
pp.165-168
 Results 1 - 11 of 11  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan