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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC 2011-07-26
11:00
Hyogo Graduate School of Engineering, Kobe University Image Segmentation and Restoration using Region-Based Hidden Variables and Belief Propagation
Ryota Hasegawa (Kansai Univ.), Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.) NC2011-35
We derive a deterministic algorithm that restores and segments an image using belief propagation and a variational Bayes... [more] NC2011-35
pp.81-86
NC, MBE
(Joint)
2011-03-07
14:10
Tokyo Tamagawa University Design of PWM Pixel-parallel LSI Implementing Region/Boundary-based Coupled MRF Models for Coarse Image Region Segmentation
Yusuke Hata, Kenji Matsuzaka, Hiromi Nishi, Kazuki Nakada, Takashi Morie (Kyushu Inst. Tech.) NC2010-137
Coupled MRF models have been proposed as visual processing models that realize coarse image region segmentation. These ... [more] NC2010-137
pp.59-64
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Image Segmentation by Region-Based Latent Variables and Belief Propagation
Ryota Hasegawa, Seiji Miyoshi (Kansai Univ.), Masato Okada (Univ. of Tokyo) IBISML2010-71
To represent edges in image processing based on Bayesian inference, it is very effective to introduce latent variables. ... [more] IBISML2010-71
pp.91-97
NC 2010-10-23
15:20
Fukuoka Kyushu Inst. Tech. (Kitakyushu Sci. and Res. Park) Parametric control in a region-based coupled MRF model for coarse image region segmentation towards its VLSI implementation
Haichao Liang, Kenji Matsuzaka, Kazuki Nakada (Kyushu Inst of Tech), Masato Okada (Univ. of Tokyo/RIKEN), Takashi Morie (Kyushu Inst of Tech) NC2010-48
For visual image processing, coupled Markov random field (MRF) models have been proposed, and they are classified into b... [more] NC2010-48
pp.35-40
NC, MBE
(Joint)
2008-03-12
14:10
Tokyo Tamagawa Univ Coarse image region segmentation using a region-based coupled MRF model and its CMOS circuit implementation
Yusuke Kawashima, Daisuke Atuti, Kazuki Nakada (Kyutech), Masato Okada (Univ. of Tokyo), Takashi Morie (Kyutech) NC2007-120
Coupled Markov random field (MRF) models for coarse image region segmentation are classified into boundary and region ba... [more] NC2007-120
pp.49-54
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