| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
11:15 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Composition Presentation of Room Images with Composition Feature
Taiki Akama (UEC), Masachika Suzuki, Hisao Kimura, Yoshio Asada, Keisuke Suzuki (AVANT), Hiroki Takahashi (UEC) |
Taking some real estate room images for searching site, detection composition features and presenting appropriate compos... [more] |
MMS2020-7 HI2020-7 ME2020-35 AIT2020-7
pp.35-40 |
| AIT, IIEEJ, AS, CG-ARTS |
2018-03-16
12:30 |
Tokyo |
Tokyo University of Technology |
3D Camera Pose Estimation from corresponding segments
Zhengnan Yu, Hiroki Takahashi (UEC) |
In this paper, we propose a novel approach of feature matching which uses line segments as feature in an input image ins... [more] |
AIT2018-57
pp.53-56 |
| ME |
2018-02-24
13:45 |
Kanagawa |
Kanto Gakuin Univ. |
A Method for Automatic Classification of Photography Composition to Select Scenery Photos worth Storing
Yuchen Yang, Masaaki Fujiyoshi, Yasufumi Takama (okyo Metro. Univ.) |
People take a bunch of photographs everyday with the widespread of digital cameras and smartphones, but they have diffic... [more] |
ME2018-64
pp.77-80 |
| 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 |
| ME |
2017-02-18
11:15 |
Kanagawa |
Kanto Gakuin Univ. |
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 |
| ME |
2017-02-18
14:30 |
Kanagawa |
Kanto Gakuin Univ. |
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 |
| ME |
2016-02-20
11:00 |
Kanagawa |
Kanto Gakuin Univ. |
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 |
2016-02-20
14:25 |
Kanagawa |
Kanto Gakuin Univ. |
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 |
| AIT, IIEEJ, AS |
2015-03-14
14:45 |
Tokyo |
|
Consideration of Effects to Average Face Caused by Image Features
Kiyotsugu Sato (CIT), Shugo Kuwatani, Kazuo Ohzeki (SIT) |
Typically, the average face is created by processing the shape and texture of the two faces to 1/2. However, in practice... [more] |
AIT2015-72
pp.131-132 |
| ME |
2015-02-28
11:45 |
Kanagawa |
Kanto Gakuin Univ. |
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. |
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 |
| IEICE-IE, AIT, ME [detail] |
2014-11-07
11:10 |
Kagoshima |
|
A Consideration of Face Recognition Based on Automatic Detected Feature Points
Kazuo Ohzeki, Masahiro Takatsuka, Masaaki Kajihara, Yutaka Hirakawa (SIT), Kiyotsugu Sato (CIT) |
The authors propose a new face recognition system by an evaluation function using feature points. The feature points are... [more] |
ME2014-101 AIT2014-120
pp.57-62 |
| ME, JSKE |
2014-10-02
14:50 |
Gifu |
|
An Examination of Moving Objects Tracking Using Feature Points of Three-Dimensional Shape
Takuya Takanohashi (Utsunomiya Univ), Naoki Hashimoto (UEC), Mie Sato (Utsunomiya Univ) |
This paper presents a method of moving objects tracking by using a group of three-dimensional points obtained from a dep... [more] |
ME2014-93
pp.17-20 |
| AIT, IIEEJ, AS |
2014-03-17
11:00 |
Tokyo |
|
Facial expression recognition from incomplete information
Ryoichi Hirasawa (UEC) |
The author tried facial expression identification in supposed state, that some part of the face is hidden, especially th... [more] |
AIT2014-57
pp.101-102 |
| ME |
2014-02-22
12:00 |
Kanagawa |
Kanto Gakuin Univ. |
Automatic Extraction of Facial Features Robust for Variations Caused by Individual Differences and Shooting Conditions
Koji Sugiyama, Masahide Kaneko (UEC) |
Accurate detection of facial feature points is crucial to analyze facial features and to synthesize impressive caricatur... [more] |
ME2014-48
pp.69-72 |
| BCT, KYUSHU, IEEE-BT, IEEE-AP-S-FUKUOKA |
2013-01-30
09:40 |
Kumamoto |
Kumamoto Univ. |
Facial Feature Points Extraction for Driver Monitoring System with Depth Camera
Naoko Uchida, Zhencheng Hu, Hitoshi Yoshitomi (Kumamoto Univ.), Yanchao Dong (Tongji Univ.) |
The traffic accident occurs due to aimless driving such as the driver's looking aside, fatigue, and a nap. In this resea... [more] |
BCT2013-3
pp.9-12 |
| AIT, IIEEJ |
2012-03-16
11:30 |
Tokyo |
Tokyo Polytechnic Univ. |
A Fast Point Matching Method for 3D Reconstruction By Using Orthophotos
Naoto Yoshida, Yusuke Hosoi, Tokiichiro Takahashi (Tokyo Denki Univ.) |
In order to reconstruct urban landscape, we propose an efficient matching method of feature points for three dimensional... [more] |
AIT2012-59
pp.89-92 |
| ME, IEICE-IE, IEICE-LOIS, IEE-CMN, IEICE-EMM [detail] |
2011-09-21
14:35 |
Ehime |
|
Identifying Individuals of Fruits using Agri-biometrics
-- Achieving Safe and Reliable Traceability System --
Rui Ishiyama, Yoichi Nakamura, Akira Monden (NEC) |
This paper proposes a new method using agri-biometrics to identify individuals of fruit. The method uses only a single i... [more] |
ME2011-112
pp.95-100 |