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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 51 of 51 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2009-10-22
13:30
Hiroshima Hiroshima Univ. Photo-realistic Rendering of Rainbows Based on Atmospheric Optical Phenomena.
Shota Kanamori, Kazuya Fujiwara, Toru Tamaki, Kazufumi Kaneda (Hiroshima Univ.) PRMU2009-75
In this paper, we propose a method for rendering rainbows realistically based on atmospheric optical

phenomena. Taki... [more]
PRMU2009-75
pp.25-30
PRMU 2009-10-22
14:40
Hiroshima Hiroshima Univ. Subsurface scattering simulation and a rendering model taking into account the irradiance distributions
Kohei Takamura (Hiroshima Univ.), Tomohisa Manabe (Takamatsu Nat Coll. of Tech.), Toru Tamaki, Kazufumi Kaneda (Hiroshima Univ.) PRMU2009-77
Several Methods for rendering subsurface scattering have been developed in computer graphics, and the methods are approx... [more] PRMU2009-77
pp.37-42
PRMU 2009-10-23
16:20
Hiroshima Hiroshima Univ. Experiments using 100 Objects: Comparison of Pose Representations for Pose Estimations
Satoko Tanaka, Kengo Harada, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.), Toshiyuki Amano (NaIST) PRMU2009-93
We report a result of an experimental study on properties of pose representations for 3DOF linear pose estimations with ... [more] PRMU2009-93
pp.127-132
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
PRMU, HIP 2007-09-04
10:30
Aichi Nagoya Univ. On the complex and quaternion subspaces for view-based pose estimation
Toru Tamaki (Hiroshima Univ.), Toshiyuki Amano (NAIST), Kazufumi Kaneda, Yumiko Ichihara (Hiroshima Univ.) PRMU2007-76 HIP2007-85
 [more] PRMU2007-76 HIP2007-85
pp.181-186
PRMU, MI 2007-05-25
09:30
Mie Mie Univ. 3D object recognition for learning data minimization and high-speed processing
Masayuki Kimura (Nagoya Institute of Technology), Toshiyuki Amano (NAIST), Toru Tamaki (Hiroshima University), Taizo Umezaki (Nagoya Institute of Technology) PRMU2007-16 MI2007-16
In this paper, a method to recognize 3-D object in parallel is proposed as the improvement of the EbC method that is a p... [more] PRMU2007-16 MI2007-16
pp.85-89
PRMU 2007-03-15
10:00
Okayama   Prediction of a path of pedestrian using Eigenspace and correction with the null space
Yuji Shinomura, Toru Tamaki (Hiroshima Univ.), Toshiyuki Amano (Nagoya Inst. Tech.), Kazufumi Kaneda (Hiroshima Univ.)
This paper proposes a method for Eigenspace-based prediction of a

person's path in future with current path. This met... [more]
PRMU2006-239
pp.25-30
PRMU 2006-12-15
16:45
Fukui   A Report on MIRU2006 Young Researchers' Program
Toshiyuki Amano (Nagoya Institute of Technology), Masakazu Iwamura (Osaka Prefecture Univ.), Takahiro Okabe, Tsuyoshi Kato (Univ. Tokyo), Toru Tamaki (Hiroshima Univ.), Program Participants, Seiichi Uchida (Kyushu Univ.)
 [more] PRMU2006-183
pp.73-84
PRMU 2005-11-18
10:30
Hiroshima Hiroshima City Univ. Practical image processing systems for improving player's skill
Toru Tamaki (Hiroshima Univ.), Yukihiko Ushiyama, Takeshi Yasaka (Niigata Univ.)
In this paper, we introduce
practical image processing systems for improving player's skill in
sport. Exising image pr... [more]
PRMU2005-116
pp.13-18
PRMU, NLC 2005-02-24
14:00
Tokyo   Probabilistic estimation of pedestrian routes over non-overlapping views
Yukihisa Ikegame, Makoto Hirano, Touru Tamaki, Masanobu Yamamoto (Niigata Univ.)
In this research we propose the method of probabilistic estimation of
pedestrian routes over non-overlapping views for... [more]
NLC2004-104 PRMU2004-186
pp.43-48
PRMU, NLC 2005-02-24
15:10
Tokyo   Elimination of string obstacles and image restoration
Hiroshi Suzuki, Toru Tamaki, Masanobu Yamamoto (Niigata Univ.)
In this paper, we propose a technique for extracting and
eliminating obstacles in a still image. We assume that the
... [more]
NLC2004-110 PRMU2004-192
pp.79-84
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