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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM, MVE [detail] 2016-01-21
10:30
Osaka   Improvement of multi-class discrimination by parallel underdetermined system of weight equations
Tsuyoshi Fukuda, Hisayoshi Chugan, Takeshi Shakunaga (Okayama Univ.) PRMU2015-118 MVE2015-40
 [more] PRMU2015-118 MVE2015-40
pp.47-52
MBE, BioX, NC 2015-10-25
17:30
Osaka Osaka Electro-Communication University Unified approach to face recognition and face modeling using augmented eigenface
Takeshi Shakunaga, Hisayoshi Chugan, Tsuyoshi Fukuda (Okayma Univ.) BioX2015-40 MBE2015-51 NC2015-35
Abstract A real-time face tracking and recognition system was proposed by Oka and Shakunaga [1], [2]. In their system, 2... [more] BioX2015-40 MBE2015-51 NC2015-35
pp.97-102
PRMU, IBISML, IPSJ-CVIM [detail] 2015-09-15
14:30
Ehime   Image-based Face Modeling from Few Images Using Augmented Eigenface
Hisayoshi Chugan, Tsuyoshi Fukuda, Takeshi Shakunaga (Okayama Univ.) PRMU2015-87 IBISML2015-47
A real-time face tracking and recognition system was proposed by Oka and Shakunaga [1], [2]. In their system, 24 images ... [more] PRMU2015-87 IBISML2015-47
pp.143-148
PRMU, BioX 2015-03-20
15:00
Kanagawa   improvement of face tracking and recognition by pose-tolerant eigenfaces
Ranma Fukunaga, Hisayoshi Chugan, Takeshi Shakunaga (Okayama Univ.) BioX2014-71 PRMU2014-191
This paper discusses effects of pose-tolerant eigenfaces for the real-time face tracking and recognition system. Experim... [more] BioX2014-71 PRMU2014-191
pp.193-198
PRMU, IPSJ-CVIM, MVE [detail] 2015-01-23
15:15
Nara   Multi-Class Discrimination by Parallel Underdetermined System of Weight Equations
Wataru Inoue, Tsuyoshi Fukuda, Hisayoshi Chugan, Takeshi Shakunaga (Okayama Univ.) PRMU2014-105 MVE2014-67
This paper discusses a parallel underdetermined approach for large-scale face recognition using the weight equations of ... [more] PRMU2014-105 MVE2014-67
pp.227-232
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-01
11:00
Ibaraki   Multi-Class Discrimination by Multi-Stage Configuration of 2-Layer Weight Equation Systems
Takeshi Shakunaga, Tsuyoshi Fukuda, Hisayoshi Chugan (Okayama Univ) PRMU2014-38 IBISML2014-19
This paper discusses a novel hierarchical overdetermined approach for face tracking and recognition using the augmented ... [more] PRMU2014-38 IBISML2014-19
pp.13-19
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-24
09:00
Kyoto   3d face tracking and recognition for depth image sensor
Soichiro Katayama, Hisayoshi Chugan, Tsuyoshi Migita, Takeshi Shakunaga (Okayama Univ) PRMU2012-105 MVE2012-70
This paper discusses on face tracking and recognition when depth-image sensor is available. For the purpose, our image b... [more] PRMU2012-105 MVE2012-70
pp.199-204
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
10:00
Tokyo   Formulation of pattern recognition including photometric adjustment for efficient face tracking and recognition
Takeshi Shakunaga, Hisayoshi Chugan, Yuki Oka (Okayama Univ) PRMU2012-39 IBISML2012-22
This paper discusses improvement of our face tracking and recognition
system. For the purpose, error analysis of the w... [more]
PRMU2012-39 IBISML2012-22
pp.85-92
PRMU, MVE, CQ, IPSJ-CVIM [detail] 2012-01-20
09:00
Osaka   Face tracking and recognition using multi-class discrimination by underdetermined system
Takeshi Shakunaga, Hisayoshi Chugan (Okayama Univ.) PRMU2011-166 MVE2011-75
This paper discusses an underdetermined approach for face tracking and recognition using the augmented eigenface which c... [more] PRMU2011-166 MVE2011-75
pp.215-220
PRMU, MVE, CQ, IPSJ-CVIM [detail] 2012-01-20
09:30
Osaka   Face tracking and recognition for many persons by 3d sparse eigentemplate
Hisayoshi Chugan, Yuki Oka, Takeshi Shakunaga (Okayama Univ.) PRMU2011-167 MVE2011-76
This paper discusses a hierarchical approach for face tracking and recognition using the augmented eigenface which consi... [more] PRMU2011-167 MVE2011-76
pp.221-226
 Results 1 - 10 of 10  /   
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