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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 21  /  [Next]  
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, 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
PRMU, MI 2006-05-25
10:30
Aichi Aichi Prefectural University Stable Optical Flow Computation for 3D Images
Yusuke Kameda, Atsushi Imiya, Tomoya Sakai (Chiba Univ.)
 [more] PRMU2006-3 MI2006-3
pp.13-18
 Results 1 - 20 of 21  /  [Next]  
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