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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 22  /  [Next]  
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
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