Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HIP |
2022-12-23 10:30 |
Miyagi |
Research Institute of Electrical Communication (Primary: On-site, Secondary: Online) |
Facial change in short-duration and its sensing technique
-- Detection of satiety face on eating behavior -- Mao Maekawa, Miyuki G. Kamachi (Kogakuin Univ.) HIP2022-67 |
As a countermeasure against “leftovers,” which are considered to be a major cause of food loss, we focused on the facial... [more] |
HIP2022-67 pp.48-53 |
CS, IE, IPSJ-AVM, ITE-BCT [detail] |
2022-11-25 11:30 |
Aichi |
Nagoya Institute of Technology (Primary: On-site, Secondary: Online) |
Privacy-Preserving Facial Identification using Lensless Imaging Kohsuke Yamamura, Yoshihiro Maeda (TUS), Daisuke Sugimura (Tsuda Univ.), Takayuki Hamamoto (TUS) CS2022-59 IE2022-47 |
Lensless imaging is a method of obtaining optically encoded images without using a lens.In this imaging method, reconstr... [more] |
CS2022-59 IE2022-47 pp.63-66 |
NLP |
2020-05-15 11:25 |
Online |
Online |
Facial Expression Recognition by a Neural Network Inspired from Processing between the Visual Cortex and Amygdala Daiki Yoshihara, Toshikazu Samura (Yamaguchi Univ.) NLP2020-2 |
Facial expressions are important to communication. The visual cortex and amygdala are involved in the recognition of fac... [more] |
NLP2020-2 pp.7-10 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2015-09-15 11:15 |
Ehime |
|
Evaluation of Active Appearance Models using AutoEncoder Takuya Watanabe, Kouichi Katsurada (TUT), Tsuneo Nitta (WU), Yurie Iribe (APU) PRMU2015-85 IBISML2015-45 |
Active Appearance Models (AAM) is a synthetic model of facial images, which reduces dimension of feature space construct... [more] |
PRMU2015-85 IBISML2015-45 pp.135-140 |
SIS |
2015-06-08 15:15 |
Nagasaki |
Arkas SASEBO |
Generation of Learning Images Using the Bi-dimensional Empirical Mode Decomposition in Facial recognition Teruaki Fujiyoshi (NIT, Kurume College), Kuntpong Woraratpanya (KMITL), Yoshimitsu Kuroki (NIT, Kurume College) SIS2015-5 |
The Empirical Mode Decomposition (EMD) divides a signal into narrowband signals called Intrinsic Mode Function (IMF), an... [more] |
SIS2015-5 pp.25-28 |
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] |
|
NC, IPSJ-BIO |
2012-06-28 09:20 |
Okinawa |
OIST, Okinawa |
Fast Incremental Principal Component Analysis and Its Application to Face Image Recognition Daijiro Aoki, Seiichi Ozawa (Kobe Univ.) NC2012-1 |
In the conventional Incremental Principal Component Analysis (IPCA), an eigenvalue problem has to be solved whenever one... [more] |
NC2012-1 pp.1-6 |
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 |
HIP |
2011-07-24 14:25 |
Toyama |
|
Priming effect of facial expression recognition under binocular rivalry Hiroshi Ueda, Aki Kondo (Univ. of Tokyo), Kohske Takahashi (Univ. of Tokyo/JSPS), Katsumi Watanabe (Univ. of Tokyo/JST) HIP2011-39 |
Emotional visual images, such as those of facial expressions and evolutionally determined threats (e.g., spiders and sna... [more] |
HIP2011-39 pp.57-61 |
PRMU, HIP |
2010-06-25 10:40 |
Aomori |
|
Automatic facial features extraction for face recognition
-- Edge detection applied to anatomical region recognition -- Kousuke Abe, Yoshihiko Hayakawa (Kitami Inst. of Tech.) PRMU2010-49 HIP2010-38 |
It is necessary to extract structural features of facial organs for the face recognition, and the accuracy in the extrac... [more] |
PRMU2010-49 HIP2010-38 pp.65-68 |
PRMU |
2008-12-19 15:00 |
Kumamoto |
Kumamoto Univ. |
[Fellow Memorial Lecture]
Progress of Research on Processing of Facial Image Information Masahide Kaneko (Univ. of Electro-Communications) PRMU2008-185 |
A “face” is very familiar with us and that is the object which we see most frequently in our daily lives. Everyone has s... [more] |
PRMU2008-185 pp.225-230 |
HIP |
2008-08-06 - 2008-08-07 |
Kagoshima |
Kagoshima University |
Attempt of Facial Impression Manipulate by Impression Transfer Vector Locally Defined Tomohiro Akita (Graduate School of Hosei Univ.), Tomoyuki Watanabe (NEC Engineering), Yoshinori Inaba, Shigeru Akamatsu (Graduate School of Hosei Univ.) HIP2008-47 |
A facial image is mathematically represented by a high-dimensional vector by separating the shape and texture informatio... [more] |
HIP2008-47 pp.93-96 |
MI |
2008-01-26 15:05 |
Okinawa |
Naha-Bunka-Tenbusu |
3D face modeling based on calibrated images for surgical analyzing Mousa Shamsi (Univ. of Tehran/Univ. of Ryukyus), Reza A. Zoroofi, Caro Lucas (Univ. of Tehran), Mohammad Sadeghi Hasanabadi (Tehran Univ. of Medical Science), Mohammad R. Alsharif, Hai Kaung, Hajime Sunakawa (Univ. of Ryukyus) MI2007-145 |
In orofacial surgery in general, and especially in cleft lip and palate surgery, creating a harmonious facial form is ve... [more] |
MI2007-145 pp.443-448 |
PRMU, HIP |
2007-02-23 10:30 |
Kanagawa |
|
Formation of the Facial Expression Feature Map based on the Topological Characteristic of Face Images Masaki Ishii, Kazuhito Sato, Hirokazu Madokoro (Akita Prefectural R & D Center), Makoto Nishida (Akita Univ.) |
In this paper, we propose the formation method of the expression feature map with a combination of supervised and unsupe... [more] |
PRMU2006-223 HIP2006-116 pp.11-16 |
ITS, IE, ITE-ME, ITE-AIT, ITE-HI |
2006-02-20 15:40 |
Hokkaido |
Hokkaido Univ. |
Effect of Automatic Impression Transformation of Faces in 3D Shapes and Texture
-- A Perceptual Comparison of Gender Impressions with Processing on 2D Image -- Yuhya Okada, Masataka Ohzu, Teruko Sakurai, Mitsuharu Inaba, Shigeru Akamatsu (Hosei Univ.) |
This paper describes an attempt to transform a 3D model of a person’s face to produce an intended change of impression. ... [more] |
ITS2005-71 IE2005-278 pp.139-144 |
IE, CS |
2005-12-13 09:30 |
Aichi |
Nagoya Univ. (Video Conf.) |
Implementation of load-balancing type multi platform utterance training system Kousuke Umeda, Keishi Murai, Shunji Masubuchi, Ayumi Ueno, Kimiko Yamakawa, Yoshifumi Chisaki, Tsuyoshi Usagawa (Kumamoto Univ.) |
An utterance training system of Japanese which equips an automatic
speech recognition and face image caption is develo... [more] |
CS2005-61 IE2005-116 pp.1-6 |
PRMU, NLC |
2005-09-22 16:20 |
Tokyo |
|
Measuring time sequence of three-dimensional facial shapes using binocular stereo with color slits Takahiro Arai, Naoki Ikegaya, Hitoshi Saji (Shizuoka Univ.) |
The 3D shape measurement of a human face by using the simple devices is useful in various applications,and many research... [more] |
NLC2005-47 PRMU2005-74 pp.65-70 |
CQ, MVE |
2005-01-27 13:25 |
Aichi |
Nagoya Institute of Technology |
Modeling of Human Hair Style for Synthesizing Facial Caricatures based on Interactive Genetic Algorithm Toshiaki Nakasu, Naiwala P. Chandrasiri, Takeshi Naemura, Hiroshi Harashima (The Univ. of Tokyo) |
The authors have been developing a software for synthesizing facial caricatures based on interactive genetic algorithm. ... [more] |
CQ2004-115 MVE2004-55 pp.7-12 |