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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 #
IBISML 2020-03-10
13:00
Kyoto Kyoto University
(Cancelled but technical report was issued)
EM Algorithm for Mixture Models in Shape Analysis
Kazunori Iwata (Hiroshima City Univ.) IBISML2019-33
The mixture model is a well-known probabilistic model in statistical modeling to express a population that is composed o... [more] IBISML2019-33
pp.1-7
PRMU, MI, IE 2012-05-18
09:30
Aichi   Procrustes analysis characterized by heteroscedasticity, and its application
Yuka Kobayashi (MUSK), Kyoko Sudo (NTT), Hiroshi Kanako (TOHO Univ.), Kazutoshi Tagai (NEC), Mutsuo Sano (OIT) IE2012-27 PRMU2012-12 MI2012-12
In this paper we propose the method for matching a set of 3D data sequences using Procrustes Analysis, which is a genera... [more] IE2012-27 PRMU2012-12 MI2012-12
pp.63-68
MI 2012-01-19
11:20
Okinawa   Structure Estimation of Point Distribution Model using Procrustes Analysis and Graphical LASSO
Naoto Yamaoka, Ryo Yoshimura, Yoshihide Sawada, Hidekata Hontani (NIT) MI2011-97
A graphical model can represent a point distribution model(PDM) of an organ surface. The structure of the graphical mode... [more] MI2011-97
pp.109-114
PRMU, MI, IE 2011-05-19
11:00
Aichi   Facial morphology analysis and its relationship to genes -- A scheme of 3D face shape alignment --
Daisuke Kitabayashi, Guifang Duan, Tomoko Tateyama (Ritsumeikan Univ.), Ryosuke Kimura (Ryukyu Univ.), Yen-Wei Chen (Ritsumeikan Univ.) IE2011-14 PRMU2011-6 MI2011-6
Recently, analysis of facial morphology and its relationship to genes has received considerable attention. In this paper... [more] IE2011-14 PRMU2011-6 MI2011-6
pp.31-36
SIS, SIP, IPSJ-AVM [detail] 2009-09-24
16:30
Hiroshima   [Invited Talk] Pose Estimation and Rotation Matrices
Toru Tamaki (Hiroshima Univ.) SIP2009-48 SIS2009-23
This paper describes pose estimation problems and rotation matrix
estimation in computer vision. One pose estimation pr... [more]
SIP2009-48 SIS2009-23
pp.59-64
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