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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, IIEEJ, AS, CG-ARTS 2024-03-05
10:55
Tokyo Tokyo University of Technology Droplet Drop Model with Turing Pattern
Mitsuru Watanabe, Masaki Abe, Taichi Watanabe (TUT)
In this study, a Turing pattern is used to mimic a falling droplet. In fluid dynamics, it is difficult to handle splitti... [more] AIT2024-55
pp.81-82
ME 2018-02-24
11:30
Kanagawa Kanto Gakuin Univ. Analysis of tripod vibration for high-definition image
Souta Kikuchi, Kazuki Nishi (UEC)
Tripods are useful for reducing the image blurring that is caused by vibrations produced at the moment the shutter click... [more] ME2018-48
pp.13-16
ME 2018-02-24
14:30
Kanagawa Kanto Gakuin Univ. Dynamic Path Planning for Autonomous Mobile Robot with Spatiotemporal RRT Using Limited Local Information under Crowded Condition
Kazuki Nakamura, Tomoaki Nakamura, Masahide Kaneko (UEC)
A robot that can work with humans under the daily lives environment should have the function of autonomous movement. Thi... [more] ME2018-67
pp.89-92
ME 2014-02-22
12:30
Kanagawa Kanto Gakuin Univ. Multifocal Projection for Dynamic Objects
Akane Tashiro, Hisanori Saito, Satoshi Ogawa, Naoki Hashimoto (UEC)
ecently, in virtual reality and projection mapping, we often project images on arbitrary surfaces or complex shaped obje... [more] ME2014-35
pp.27-30
HI, 3DMT 2013-03-06
11:45
Tokyo Tokyo University of Agriculture and Technology A saliency map model for dynamic images based on receptive field properties of visual area MT
Kodai Tsuda, Takeshi Kohama (Kinki Univ)
Saliency map models are mathematical expressions of the characteristics of bottom-up attention processing (Itti & Koch, ... [more] HI2013-51 3DIT2013-19
pp.39-42
ME 2009-02-28
11:00
Kanagawa Kanto Gakuin Univ. Recognition of Dynamically Changing Environment by Autonomous Mobile Robot
Akihisa Ito, Jun-ichi Imai, Masahide Kaneko (UEC)
Mobile robots are required to recognize dynamically changing environments to avoid collisions with walkers. Distance inf... [more] ME2008-57
pp.21-24
 Results 1 - 6 of 6  /   
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