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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP, EA, SIP | 2020-03-02 15:10 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
A Pattern Recognition Method Using Secure Sparse Representations in L0 Norm Minimization Takayuki Nakachi, Yitu Wang (NTT), Hitoshi Kiya (Tokyo Metro. Univ.)  EA2019-130 SIP2019-132 SP2019-79 |
In this paper, we propose a privacy-preserving pattern recognition method using encrypted sparse representations in L0 n... [more] | EA2019-130 SIP2019-132 SP2019-79 pp.169-174 |
| EMM | 2015-03-13 10:55 |
Okinawa | Implementation and Evaluation of a Facial Image Retrieval System with Privacy Protection Yoshitaka Morimura (Kyoto Univ.), Takuya Funatomi (NAIST), Tetsutaro Uehara (Ritsumeikan Univ.), Michihiko Minoh (Kyoto Univ.) EMM2014-98 |
In our previous research, we have proposed the method that generates the cryptographic key from facial feature in order ... [more] | EMM2014-98 pp.125-129 |
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| PRMU | 2011-11-25 13:45 |
Nagasaki | Face recognition based on separable lattice 2-D HMMs with variational Bayesian method Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2011-120 |
This paper proposes an image recognition technique based on separable lattice 2-D hidden Markov models (SL2D-HMMs) with ... [more] | PRMU2011-120 pp.125-130 |
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| PRMU | 2011-11-25 14:15 |
Nagasaki | Face recognition based on hidden conditional random fields using structure of separable lattice HMMs Keisuke Kumaki, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2011-121 |
In image recognition, it needs to deal with geometrical variations of an object, e.g. location, size, and etc. Separable... [more] | PRMU2011-121 pp.131-136 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2011-09-06 14:50 |
Hokkaido | A Study of Robust Multi-Frame Super Resolution for Non-Rigid Deformation of Face Tomonari Yoshida (Nagoya Univ.), Tomokazu Takahashi (Gifu Shotoku Gakuen Univ.), Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2011-80 IBISML2011-39 |
In a face recognition system with surveillance video cameras, the decrease in resolution of face images degrades the re... [more] |
PRMU2011-80 IBISML2011-39 pp.181-186 |
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| NC, MBE [detail] | 2010-12-19 13:30 |
Aichi | Nagoya Univ. | A Hierarchal Features Realization Method by Self-Organizing Map Shuta Saito, Masahiro Ariizumi, Hakaru Tamukoh, Masatoshi Sekine (Tokyo Univ. of Agr and Tech) MBE2010-72 NC2010-83 |
In this paper, we propose a tree structured SOM to learn a base vector to express the feature of the image hierarchicall... [more] | MBE2010-72 NC2010-83 pp.97-102 |
| PRMU, FM | 2010-12-10 11:40 |
Yamaguchi | An Image Recognition System by Tree Structured SOM with Feature Learning Function Masahiro Ariizumi, Shuta Saito, Hakaru Tamukoh, Masatoshi Sekine (TUAT) PRMU2010-143 |
In this paper, we describe an image recognition system combining a tree structured Self Organizing Map(SOM) for feature ... [more] | PRMU2010-143 pp.97-102 |
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| PRMU, HIP | 2010-06-25 09:00 |
Aomori | Face recognition based on extended separable lattice HMMs Keisuke Kumaki, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2010-46 HIP2010-35 |
In image recognition systems, it needs to deal with geometrical variations of an object, e.g. location, size, rotation a... [more] | PRMU2010-46 HIP2010-35 pp.45-50 |
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| PRMU, HIP | 2010-03-16 15:30 |
Kagoshima | Kagoshima Univ. | Compound Mutual Subspace Method and Its application to face recognition Naoki Akihiro, Kazuhiro Fukui (Univ. of Tsukuba.) PRMU2009-315 HIP2009-200 |
This paper proposes the Compound Mutual Subspace Method (CPMSM). The proposed method is considered as a generalization ... [more] |
PRMU2009-315 HIP2009-200 pp.483-488 |
| PRMU | 2009-03-14 10:00 |
Miyagi | Tohoku Institute of Technology | Face recognition based on separable lattice 2-D HMM considering rotational variations Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda (NIT) PRMU2008-263 |
In image recognition systems,it needs to deal with geometrical variaions of images such as size, location and rotaion.S... [more] |
PRMU2008-263 pp.159-164 |
| MBE, NC (Joint) |
2007-12-22 12:05 |
Aichi | Research on Face authentication in Moving Image that used Self-Organizing Map Circuit Tomomi Yuno, Ichiro Sudo, Hakaru Tamukoh, Masatoshi Sekine (Agriculture and Technology Univ) NC2007-78 |
In this paper, we describe an image recognition system using a Self-Organizing Map (SOM) circuit. First, we extract a f... [more] |
NC2007-78 pp.43-48 |
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| PRMU | 2007-01-18 16:45 |
Kyoto | The Method to Describe Image by Low Dimension using the Center of Clusters on Self-Organizing Map Ichiro Sudo, Tomomi Yuno, Masatoshi Yokokawa, Kenji Kudo, Masatoshi Sekine (TUAT) |
We proposes the method of expressing the low level of the image that uses clustering by Self Organization Map (SOM) and ... [more] | PRMU2006-193 pp.61-66 |
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| NC | 2006-06-16 12:00 |
Okinawa | OIST | Performance estimation of face authentication based on auto-associative memory Hiroshi Kage, Shitaro Watanabe, Ken-ichi Tanaka, Kazuo Kyuma (Mitsbubishi Electric Corp.) |
In some situations of face authentication by face images, the system performance will be degraded caused by partial occl... [more] | NC2006-30 pp.47-52 |
| PRMU | 2006-03-16 14:55 |
Fukuoka | Kyushu Univ. | Bayesian Face Recognition using a Sequential Monte Carlo Method Atsushi Matsui, Simon Clippingdale, Mahito Fujii, Nobuyuki Yagi (NHK) |
We introduce a sequential learning algorithm for Bayesian probability distributions describing faces in video input imag... [more] | PRMU2005-250 pp.119-124 |
| MBE, NC (Joint) |
2005-12-09 16:35 |
Aichi | Evaluation of occlusion-tolerant face authentication using auto-associative memory Hiroshi Kage, Shitaro Watanabe, Ken-ichi Tanaka, Kazuo Kyuma (Mitsbubishi Electric Corporation) |
Even the latest face authentication systems still have problems caused by illumination condition, face pose, facial expr... [more] | NC2005-89 pp.49-54 |
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