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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 14 of 14  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
RECONF 2022-06-08
17:15
Ibaraki CCS, Univ. of Tsukuba
(Primary: On-site, Secondary: Online)
RECONF2022-25 (To be available after the conference date) [more] RECONF2022-25
pp.113-118
HWS, VLD [detail] 2020-03-05
16:25
Okinawa Okinawa Ken Seinen Kaikan
(Cancelled but technical report was issued)
Image edge detection using Latest Results based Approximate Computing
Hajime Ochi, Kimiyoshi Usami (SIT) VLD2019-121 HWS2019-94
Approximate Computing (AC) is an energy reduction technique with approximate calculation. In the field of image processi... [more] VLD2019-121 HWS2019-94
pp.157-162
IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] 2020-01-24
13:55
Kanagawa Raiosha, Hiyoshi Campus, Keio University Edge detection algorithms using stochastic architectures for various images
Naoto Shinozaki, Kimiyoshi Usami (SIT) VLD2019-87 CPSY2019-85 RECONF2019-77
Stochastic computing (SC) is an approximate calculation method with the existence probability of 1 in a bit string as a ... [more] VLD2019-87 CPSY2019-85 RECONF2019-77
pp.199-204
QIT
(2nd)
2019-11-19
09:40
Tokyo Gakushuin University Theoretical limits and scaling of quantum edge detection
Naoto Kura, Masahito Ueda (UTokyo)
Edge detection, one of the fundamental tools in signal processing, is mathematically related to the wavelet transform of... [more]
VLD 2014-03-04
11:35
Okinawa Okinawa Seinen Kaikan Effect of Correlated Stochastic Numbers on Calculation Accuracy
Shota Ishii, Daiki Sunamori, Hideyuki Ichihara, Tsuyoshi Iwagaki, Tomoo Inoue (Hiroshima City Univ.) VLD2013-147
Stochastic computing, which is a computing method with probabilities(called stochastic numbers), draws attention as an a... [more] VLD2013-147
pp.79-84
CAS, CS, SIP 2012-03-08
15:35
Niigata The University of Niigata Optimal Estimation of Step Line-Edge Based on E-spline Pixel Acqusition Model
Akira Hirabayashi, Naoya Kunisada (Yamaguchi Univ.), Pier Luigi Dragotti (Imperial College London) CAS2011-118 SIP2011-138 CS2011-110
We propose a line edge extraction algorithm based on an E-spline pixel acquisition model.
A straight line-edge can be d... [more]
CAS2011-118 SIP2011-138 CS2011-110
pp.65-70
SIS 2011-12-16
10:00
Yamaguchi   A Method of Center Line Extraction for Detection of Oncoming Cars
Toshimitsu Araki, Seiki Kunitada, Mitsuji Muneyasu (Kansai Univ.) SIS2011-49
An extraction of a center line from a moving image captured by a camera in the moving car is important for the scene ana... [more] SIS2011-49
pp.51-56
IPSJ-SLDM, SIP, IE, ICD [detail] 2010-10-06
10:40
Chiba Makuhari Messe, International Conference Hall Vehicle Detection and Tracking using Motion Segmentation
Yusuke Morimoto, Masayuki Miyama, Yoshio Matsuda (Kanazawa Univ.) SIP2010-64 ICD2010-78 IE2010-82
This paper deals with the vehicle detection and tracking problem using motion segmentation algorithm.The motion segmenta... [more] SIP2010-64 ICD2010-78 IE2010-82
pp.79-84
PRMU, HIP 2010-06-25
10:40
Aomori   Automatic facial features extraction for face recognition -- Edge detection applied to anatomical region recognition --
Kousuke Abe, Yoshihiko Hayakawa (Kitami Inst. of Tech.) PRMU2010-49 HIP2010-38
It is necessary to extract structural features of facial organs for the face recognition, and the accuracy in the extrac... [more] PRMU2010-49 HIP2010-38
pp.65-68
SP, EA, SIP 2010-05-27
13:25
Hyogo Konan Univ. (Hirao Seminar House) Precise Line-Edge Extraction from Low-Resolution Images by E-Spline Sampling
Akira Hirabayashi (Yamaguchi Univ.), Pier-Luigi Dragotti (Imperial Coll. London) EA2010-17 SIP2010-17 SP2010-17
The standard approach for line-edge extraction from image is Hough transform, which has many difficulties including limi... [more] EA2010-17 SIP2010-17 SP2010-17
pp.97-102
MI 2010-01-29
11:40
Okinawa Naha-Bunka-Tenbusu Development and evaluation of a differentiation serching filter for edge detection
Hidekazu Tanaka (Gifu Univ.), Teruhiko Kitagawa (Gifu Nat Coll. of Tech.), Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2009-149
CAD (computer-aided diagnosis) system for automatic detection of liver tumors is expected to reduce the burden of a larg... [more] MI2009-149
pp.393-396
PRMU 2005-11-17
11:30
Hiroshima Hiroshima City Univ. Contour Extraction using Texture and Non-Texture Distinction
Shigeru Iguchi (Waseda Univ.), Hayato Yamana (Waseda Univ. / NII)
This paper proposes a technique for applying a suitable contour extraction method to a texture region and a non-texture ... [more] PRMU2005-108
pp.13-18
ICD 2005-05-27
10:00
Hyogo Kobe Univ. A 10-Gb/s Burst-Mode CDR IC in 0.13-um CMOS
Masafumi Nogawa, Kazuyoshi Nishimura, Shunji Kimura, Tomoaki Yoshida, Tomoaki Kawamura, Minoru Togashi, Kiyomi Kumozaki, Yusuke Ohtomo (NTT)
A 10-Gb/s burst-mode CDR IC was fabricated in a 0.13-$\mu$m CMOS process for the high-speed packet-based networks of the... [more] ICD2005-28
pp.1-5
PRMU, TL 2005-03-18
09:45
Akita   Hemed telop recognition
Ken'ichirou Suzuki, Hitoshi Sakano, Sakuichi Ohtsuka (NTT DATA Corp)
In this article, we propose telop recognition method that focus feature of hem. Japanese news telops have black rim that... [more] TL2004-64 PRMU2004-232
pp.7-10
 Results 1 - 14 of 14  /   
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