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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MBE, NC (Joint) |
2022-03-04 15:35 |
Online | Online | Quantification system for visual fields in pituitary tumor based on image processing Tomohiro Oki (Niigata Univ.), Yuichirou Yoneoka (Niigata Univ Hospital/Uonuma Community Medical Education Center), Tetsuhisa Hatase (Imai Ophthalmology hospital), Yukihiko Fujii (Niigata Univ Medical and Dental Hospital), Atsuhiko Iijima (Niigata Univ.)  MBE2021-106 |
Damaged optic chiasma by pituitary adenoma causes visual field deficits. The surgical extraction of the tumors could rec... [more] | MBE2021-106 p.67 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-18 13:00 |
Online | Online | Self-Evaluation of AIS Station Coverage Area for GTFS Realtime of Maritime Public Transport Naoki Yamane (NIT,Tokuyama College), Tomohiro Sunada, Kazuma Urata, Kenshiro Okamura (NIT, Oshima College), Misako Urakami (NIT,Tokuyama College) ITS2020-27 IE2020-41 |
GTFS (General Transit Feed Specification) Realtime is not advanced in the maritime filed because it is necessary to rece... [more] | ITS2020-27 IE2020-41 pp.1-6 |
| AP, SANE, SAT (Joint) |
2020-07-15 10:50 |
Online | Online | [Invited Lecture]
A Study of Ray Trace Acceleration Method by Convex Hull Detection and Multiple Simple Path Searches Kenshi Horihata, Rei Hasegawa, Yuzo Moriuchi, Hiroshi Satoh, Yoshio Koyanagi, Yasufumi Ichikawa (Panasonic) AP2020-11 |
The ray tracing method is expected to be more widely used in indoor and outdoor micro cells where analysis is more activ... [more] | AP2020-11 pp.9-14 |
| AP, SANE, SAT (Joint) |
2020-07-16 10:45 |
Online | Online | [Invited Lecture]
Evaluation of Model Simplification Using Image Processing Technology in Urban Environment for Ray Tracing Simulation Hirokazu Yamakura, Taro Kaibe, Wataru Okamura, Gilbert Siy Ching, Yukiko Kishiki (KKE) AP2020-14 |
It is well known that the calculation time of ray tracing simulations is dominantly determined by the number of surfac... [more] |
AP2020-14 pp.27-32 |
| PRMU, MVE, IPSJ-CVIM [detail] | 2019-01-17 09:45 |
Kyoto | PRMU2018-97 MVE2018-39 |
In our previous research on a pedestrian navigation system based on the pre-recorded video, reference images extracted f... [more] | PRMU2018-97 MVE2018-39 pp.5-10 |
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| RECONF | 2015-06-19 14:10 |
Kyoto | Kyoto University | High Speed Calculation of Convex Hull in 2D Images using FPGA Kahori Kemmotsu, Kenji Kanazawa, Yamato Mori (Univ. of Tsukuba), Noriyuki Aibe (SUSUBOX), Moritoshi Yasunaga (Univ. of Tsukuba) RECONF2015-7 |
Given a set of points, a convex hull is the smallest convex polygon containing all the points. In this paper, we describ... [more] | RECONF2015-7 pp.35-40 |
| PRMU | 2008-12-18 11:15 |
Kumamoto | Kumamoto Univ. | Classifier selection in a family of polyhedron classifiers Tetsuji Takahashi, Mineichi Kudo, Atsuyoshi Nakamura (Hokkaido Univ.) PRMU2008-153 |
It is an efficient way to approximate a class region by convex hulls of samples. However, the convex hull is computat... [more] |
PRMU2008-153 pp.37-41 |
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