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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS 2024-05-15
13:00
Okinawa   Hierarchical ArUco Marker Array for Coarse-to-Fine Phase Identification
Leo Miyashita, Satoshi Tabata, Masatoshi Ishikawa (TUS)
 [more]
MVE 2019-10-10
14:00
Hokkaido   A Micro-Stereoscopic System for Experiencing the World of a Miniature Human
Ryo Ito, Leo Miyashita, Masatoshi Ishikawa (UTokyo) MVE2019-23
The worldview of a human depends on his/her body size, and it is possible to experience the world of a minuature human b... [more] MVE2019-23
pp.1-4
HIP 2019-03-09
17:20
Kochi   Compensation and its evaluation of optical illusion image synchronized with eye movement
Yuki Kubota, Tomohiko Hayakawa, Masatoshi Ishikawa (The Univ. of Tokyo) HIP2018-88
(To be available after the conference date) [more] HIP2018-88
pp.29-31
EID, ITE-IDY, ITE-HI, ITE-3DMT, IEE-OQD, SID-JC [detail] 2018-10-25
13:00
Tokyo Kikai-Shinko-Kaikan Bldg Study on Projection Method Using Mirrors Toward Downsized Integral Photography System
Masahiko Yasui (Tokyo Univ.), Yoshihiro Watanabe (Tokyo Tech), Masatoshi Ishikawa (Tokyo Univ.)
 [more]
CAS, NLP 2018-10-18
16:05
Miyagi Tohoku Univ. [Invited Talk] Technologies for near-infrared color high speed selfie fundus camera
Hironari Takehara (NAIST), Hirofumi Sumi (UTokyo), Daiki Shirahige, Kiyotaka Sasagawa, Takashi Tokuda (NAIST), Yoshihiro Watanabe (Tokyo Tech), Norimasa Kishi, Masatoshi Ishikawa (UTokyo), Jun Ohta (NAIST) CAS2018-47 NLP2018-82
 [more] CAS2018-47 NLP2018-82
pp.57-60
PRMU, BioX 2018-03-19
16:05
Tokyo   Ellipse Self-window Method for High-speed High-resolution Optical Tracking of Medaka
Tomohiro Sueishi (Univ. of Tokyo), Takuya Ogawa, Shoji Yachida (NEC), Yoshihiro Watanabe, Masatoshi Ishikawa (Univ. of Tokyo) BioX2017-72 PRMU2017-208
In aquaculture and aquarium, the necessity of health management of each individual of fish is increasing. However, in ac... [more] BioX2017-72 PRMU2017-208
pp.213-218
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-18
11:00
Osaka   SVBRDF Acquisition Using Non-negative Matrix Factorization
Tomoki Iwanaga (UTokyo), Yoshihiro Watanabe (UTokyo/JST), Masatoshi Ishikawa (UTokyo) PRMU2017-121 MVE2017-42
In this paper, we describe BRDF acquisition method using non-negative matrix factorization (NMF) aiming at fast BRDF mea... [more] PRMU2017-121 MVE2017-42
pp.81-86
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-18
11:25
Osaka   High-Speed Three-Dimensional Tracking of Non-Rigid Surface for Dynamic Projection Mapping Using Multiple Cameras
Noriaki Endo, Hikaru Amano, Yoshihiro Watanabe, Masatoshi Ishikawa (UTokyo) PRMU2017-122 MVE2017-43
In this paper, we propose a high-speed three-dimensional tracking method of non-rigid surface for dynamic projection map... [more] PRMU2017-122 MVE2017-43
pp.87-92
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-18
17:15
Osaka   Markerless Dynamic Projection Mapping using High-speed 6-DoF Tracking
Satoshi Tabata, Hikaru Amano, Yoshihiro Watanabe, Masatoshi Ishikawa (Univ. of Tokyo) PRMU2017-130 MVE2017-51
In recent years, various dynamic projection mapping have been achieved.
However, in order to acquire the absolute posi... [more]
PRMU2017-130 MVE2017-51
pp.147-152
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-19
11:25
Osaka   Minimal Sampling Design using Bayesian Optimization Toward High-speed BRDF Acquisition
Yoshihiro Watanabe (UTokyo/JST), Kenjiro Saito, Leo Miyashita, Masatoshi Ishikawa (UTokyo) PRMU2017-138 MVE2017-59
This paper focuses on BRDF that is a form of material surface characteristics. As a conventional work toward high-speed ... [more] PRMU2017-138 MVE2017-59
pp.245-250
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-19
11:50
Osaka   Adaptive BRDF Sampling Method Based on Between-model Variance
Masashi Nitta (UTokyo), Yoshihiro Watanabe (UTokyo/JST), Masatoshi Ishikawa (UTokyo) PRMU2017-139 MVE2017-60
In this paper, we describe a reflectance reconstruction method based on a small number of measurements
in order to spee... [more]
PRMU2017-139 MVE2017-60
pp.251-256
OPE 2017-12-08
11:30
Okinawa   1000fps Vision System and Its Impact on Various Intelligent Applications -- Next-generation Fundus Camera with High Speed Imaging --
Hirofumi Sumi (UT), Shunsuke Miyazaki, Hironari Takehara, Kiyotaka Sasagawa, Takashi Tokuda (NAIST), Norimasa Kishi, Yoshihiro Watanabe (UT), Shingo Kagami (TU), Jun Ohta (NAIST), Masatoshi Ishikawa (UT) OPE2017-114
This paper is described that development of next-generation fundus camera with high frame rate of intelligent imaging te... [more] OPE2017-114
pp.125-130
NS 2014-01-24
11:40
Okinawa Univ. of the Ryukyus Networked High-Framerate Vision System for High-Speed Object Tracking
Akihito Noda, Yuji Yamakawa, Masatoshi Ishikawa (Univ. of Tokyo) NS2013-176
The paper presents a networked vision system for tracking high-speed objects traveling across multiple cameras.
An exa... [more]
NS2013-176
pp.77-80
PRMU 2013-03-14
11:45
Tokyo   Real-time 3D tracking of pages and its condition assessment for book digitization based on adaptive capture
Shohei Noguchi, Miho Tamei, Masahiro Yamada, Yoshihiro Watanabe, Masatoshi Ishikawa (Univ. of Tokyo) PRMU2012-188
We report a new book digitization system and new adaptive capture method that enables to obtain high-resolution document... [more] PRMU2012-188
pp.49-54
PRMU 2011-11-24
17:45
Nagasaki   High-accuracy 3D Reconstruction and Image Stitching for High-speed Book Digitization System with Multi-view Simultaneous Imaging
Kotaro Itoyama, Masahiro Yamada, Yoshihiro Watanabe, Masatoshi Ishikawa (Tokyo Univ.) PRMU2011-112
Digitization of documents recently has become an important technology. In order to meet this demand, it is promising tec... [more] PRMU2011-112
pp.75-80
ICD, IPSJ-ARC 2006-06-09
14:00
Kanagawa   Design of a High Performance Vision Processor with Shared Memory Multi-SIMD Architecture
Kota Yamaguchi, Yoshihiro Watanabe, Takashi Komuro, Masatoshi Ishikawa (The University of Tokyo)
For high speed image recognition in real environment, it is a challenge to accelerate a large amount of calculation for ... [more] ICD2006-56
pp.89-94
 Results 1 - 16 of 16  /   
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