Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, SIP, BioX, ITE-IST, ITE-ME [detail] |
2021-06-03 13:30 |
Online |
Online |
Accumulation Control of Bit-Plane Images for Motion Estimation by Single Photon Counting Imaging Hiroki Koda, Yusuke Kameda, Shunichi Sato, Takayuki Hamamoto (TUS) |
[more] |
|
IE, SIP, BioX, ITE-IST, ITE-ME [detail] |
2021-06-03 14:00 |
Online |
Online |
High frame rate motion estimation for image sensor with controllable exposure patterns Yuma Masui, Yusuke Kameda, Shunichi Sato, Takayuki Hamamoto (TUS) |
[more] |
|
IE, SIP, BioX, ITE-IST, ITE-ME [detail] |
2021-06-03 16:00 |
Online |
Online |
Fast Implementation of the Lossless Image Coding Method Based on Example Search and Probability Model Optimization Hiroki Kojima, Yusuke Kameda, Yasuyo Kita, Ichiro Matsuda, Susumu Itoh (Tokyo Univ of Science.) SIP2021-3 BioX2021-3 IE2021-3 |
We previously proposed a lossless image coding method based on example search and probability model optimization. In the... [more] |
SIP2021-3 BioX2021-3 IE2021-3 pp.10-14 |
MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-02 14:05 |
Online |
Online |
[Special Talk]
Highly sensitive and HDR image sensor using CTIA pixel circuit Yotaro Imai, Toshinori Otaka, Yusuke Kameda, Takayuki Hamamoto (TUS) IMQ2020-25 IE2020-65 MVE2020-57 |
[more] |
IMQ2020-25 IE2020-65 MVE2020-57 p.75 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2021-02-18 16:40 |
Online |
Online |
Image Reconstruction Technique using Object's Motion for Single Photon Imaging Kiyotaka Iwabuchi, Yusuke Kameda, Takayuki Hamamoto (TUS) ITS2020-33 IE2020-47 |
The single-photon imaging that enables high-quality imaging even in a low incident light level environment, records inci... [more] |
ITS2020-33 IE2020-47 pp.37-42 |
VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2020-11-18 09:55 |
Online |
Online |
Column-Parallel Pipelined ADC with Ring Amplifier for High Speed and High Spatial Resolution CMOS Image Sensor Takashi Kojima (TUS), Toshinori Otaka, Yusuke Kameda, Takayuki Hamamoto (TUS) VLD2020-28 ICD2020-48 DC2020-48 RECONF2020-47 |
CMOS image sensor that can capture images with both high time resolution and high spatial resolution is required for ins... [more] |
VLD2020-28 ICD2020-48 DC2020-48 RECONF2020-47 pp.101-105 |
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] |
2020-05-29 15:10 |
Online |
Online |
Distant pedestrian detection from nighttime NIR video by moving-region zooming Atsuki Hiramatsu, Yusuke Kameda (TUS), Hiroshi Ikeoka (Fukuyama Univ.), Takayuki Hamamoto (TUS) SIP2020-16 BioX2020-16 IE2020-16 MI2020-16 |
Highly accurate pedestrian detection technology is required for functions such as automatic emergency braking, which are... [more] |
SIP2020-16 BioX2020-16 IE2020-16 MI2020-16 pp.79-83 |
VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2019-11-15 14:40 |
Ehime |
Ehime Prefecture Gender Equality Center |
Highly sensitive and HDR image sensor using CTIA pixel circuit Yotaro Imai, Toshinori Otaka, Yusuke Kameda, Takayuki Hamamoto (TUS) ICD2019-39 IE2019-45 |
We propose an image sensor that achieves both high sensitivity and high DR images by using a circuit structure that can ... [more] |
ICD2019-39 IE2019-45 pp.51-54 |
VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2019-11-15 15:05 |
Ehime |
Ehime Prefecture Gender Equality Center |
HDR Imaging with Considering Spatial Resolution Deterioration and Motion Blur using Multiple-Exposure-Time Image Sensor Masahito Shimamoto, Yusuke Kameda, Takayuki Hamamoto (TUS) ICD2019-40 IE2019-46 |
In this paper, we proposed a novel method to achieve a high dynamic range (HDR) image with suppressing deterioration in ... [more] |
ICD2019-40 IE2019-46 pp.55-58 |
CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-08 16:20 |
Okinawa |
Okinawa Industry Support Center |
Tomoki Imazeki, Yusuke Kameda, Tomokazu Ishikawa, Ichiro Matsuda, Susumu Itoh (TUS) IMQ2017-45 IE2017-137 MVE2017-87 |
(To be available after the conference date) [more] |
IMQ2017-45 IE2017-137 MVE2017-87 pp.111-115 |
CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-09 13:05 |
Okinawa |
Okinawa Industry Support Center |
Generation of a 3D Object Exhibiting Different QR Codes Depending on Viewpoints Takatoshi Tamura, Tomokazu Ishikawa, Yusuke Kameda, Ichiro Matsuda, Susumu Itoh (TUS) IMQ2017-64 IE2017-156 MVE2017-106 |
This paper presents a framework to create a 3D object whose silhouette can be recognized as different QR codes when view... [more] |
IMQ2017-64 IE2017-156 MVE2017-106 pp.219-222 |
PRMU, IBISML, IPSJ-CVIM (Joint) [detail] |
2012-09-03 15:30 |
Tokyo |
|
Hierarchical Properties of Multi-resolutions of Optical Flow Yusuke Kameda, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2012-46 IBISML2012-29 |
Most of the methods to compute optical flows are
variational-technique-based methods, which
assume that image functio... [more] |
PRMU2012-46 IBISML2012-29 pp.149-155 |
PRMU, IBISML, IPSJ-CVIM (Joint) [detail] |
2012-09-03 16:00 |
Tokyo |
|
The Properties of the Boundary Condition for Optical Flow Computation Yusuke Kameda, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2012-47 IBISML2012-30 |
Most of the methods to compute optical flows are
variational-technique-based methods, which estimate appearance
velo... [more] |
PRMU2012-47 IBISML2012-30 pp.157-162 |
MI |
2010-09-03 12:50 |
Saitama |
|
[Poster Presentation]
Volumetric Motion Segmentation Using Fractional Order Variational Method Koji Kashu, Yusuke Kameda, Yoshihiko Mochizuki, Tomoya Sakai, Atsushi Imiya (Chiba Univ.) MI2010-60 |
[more] |
MI2010-60 pp.55-60 |
PRMU |
2009-10-23 09:30 |
Hiroshima |
Hiroshima Univ. |
Super-resolution Optical Flow using Variational Method Yoshihiko Mochizuki, Yusuke Kameda, Atsushi Imiya, Tomoya Sakai, Takashi Imaizumi (Chiba Univ) PRMU2009-83 |
We develop an algorithm for the super-resolution optical flow computation,
by combining variational super-resolution ... [more] |
PRMU2009-83 pp.69-74 |
PRMU |
2009-06-19 13:30 |
Hokkaido |
Hokkaido Univ. |
Computing the Local Continuity Order of Optical Flow using Variational Method Koji Kashu, Yusuke Kameda, Atsushi Imiya, Tomoya Sakai, Yoshihiko Mochizuki (Chiba Univ.) PRMU2009-57 |
We introduce variational optical flow computation
involving priors with fractional order differentiations.
Fraction... [more] |
PRMU2009-57 pp.107-112 |
PRMU |
2009-06-19 14:30 |
Hokkaido |
Hokkaido Univ. |
Optimization for Variational Optical Flow Computation using Mathematical Programming Yusuke Kameda (Chiba Univ. /JSPS), Atsushi Imiya (Chiba Univ.) PRMU2009-59 |
In this paper, we describe optical flow computation as a mathematical programming problem that minimizes a smoother with... [more] |
PRMU2009-59 pp.119-124 |
PRMU, HIP |
2008-09-05 16:30 |
Kanagawa |
Keio Univ. |
Classification of the Cardiac Motion using Locally Polynamial OpticalFlow Fields computed with the Higher Order Priors Yusuke Kameda, Atsushi Imiya (Chiba Univ.) PRMU2008-58 HIP2008-58 |
[more] |
PRMU2008-58 HIP2008-58 pp.65-72 |
PRMU, NLC, TL |
2006-10-20 13:30 |
Tokyo |
|
The Higher-Order Constrains for Optical-Flow Computation Atsushi Imiya, Yusuke Kameda, Tomoya Sakai (Chiba Univ.) |
[more] |
PRMU2006-110 pp.35-40 |
MI |
2006-07-07 10:30 |
Chiba |
Chiba Univ. |
On the Effects of Divergence-free Condition for 3D Optical Flow Computation Yusuke Kameda, Atsushi Imiya, Tomoya Sakai (Chiba Univ.) |
[more] |
MI2006-40 pp.7-12 |