BibSLEIGH — Kazuhiko

Travelled to:

1 × Australia
1 × Austria
1 × Germany
1 × India
1 × Japan
1 × Korea
1 × Spain
1 × USA
3 × United Kingdom
4 × Canada

Collaborated with:

H.Yamada T.Horiuchi K.Kato M.Okamoto Y.Niwa H.Hongo K.Toraichi H.Tanahashi A.Nakamura T.Kawano C.Wang J.Terrillon A.Pilpré ∅ K.Iwatsuka Y.Sato A.Iwata K.Sakaue S.Muraki M.Yasuda M.Nomura H.Ohta Y.Ishii M.Ohya M.Yasumoto R.Haruki H.Haruki H.Yamamoto K.Sawada A.Voellmy J.Wang P.Hudak M.Tominaga H.Koshimizu T.Iwana S.Shimizu Y.Satoh S.Kaneko H.Hirayu K.Iwata M.Yasuda M.Ishida K.Murata Kohei Shimasaki T.Okamura Mingjun Jiang T.Takaki I.Ishii

Talks about:

recognit (17) method (11) charact (10) use (9) direct (8) system (6) featur (6) imag (6) detect (5) line (5)

Person: Kazuhiko Yamamoto

DBLP: Yamamoto:Kazuhiko

Contributed to:

2005

2004

2003

2002

2001

2000

1999

1998

1997

1996

1995

1993

2013

2016

2018

Wrote 32 papers:

ICDAR-2005-NomuraYOK #effectiveness #image #recognition: A Proposal of the Effective Recognition Method for Low-Resolution Characters from Motion Images (MN, KY, HO, KK), pp. 720–724.
ICPR-v1-2004-IwatsukaYK #development #people #recognition: Development of a Guide Dog System for the Blind People with Character Recognition Ability (KI, KY, KK), pp. 453–456.
ICPR-v1-2004-KawanoKY #comparison #difference #gender: A Comparison of the Gender Differentiation Capability between Facial Parts (TK, KK, KY), pp. 350–353.
ICPR-v3-2004-IshiiHYN #detection #realtime: Face and Head Detection for a Real-Time Surveillance System (YI, HH, KY, YN), pp. 298–301.
ICPR-v3-2004-ShimizuYWSTN #detection #mobile: Moving Object Detection with Mobile Stereo Omni-directional System (SOS) based on Motion Compensatory Inter-frame Depth Subtraction (SS, KY, CW, YS, HT, YN), pp. 248–251.
ICPR-v3-2004-TerrillonPNY #detection #multi #realtime #recognition #robust #sequence #video: DRUIDE : A Real-Time System for Robust Multiple Face Detection, Tracking and Hand Posture Recognition in Color Video Sequences (JCT, AP, YN, KY), pp. 302–305.
ICDAR-2003-NakamuraY #recognition #video: Caption Text Recognition in Video Frames by MAP Matching (AN, KY), pp. 650–654.
ICPR-v1-2002-TerrillonPNY #detection #human-computer #image #interactive #recognition #robust: Robust Face Detection and Hand Posture Recognition in Color Images for Human-Machine Interaction (JCT, AP, YN, KY), pp. 204–209.
ICPR-v1-2002-TominagaHKNY #estimation #gesture #multi #recognition: Estimation of Human Motion from Multiple Cameras for Gesture Recognition (MT, HH, HK, YN, KY), pp. 401–404.
ICPR-v2-2002-IwataKY: The Proposal of a New Robot Vision System Called the Horizon View Camera (AI, KK, KY), pp. 709–712.
ICPR-v2-2002-SatohTWKNY #detection #robust: Robust Event Detection by Radial Reach Filter (RRF) (YS, HT, CW, SK, YN, KY), pp. 623–627.
ICPR-v3-2002-KawanoYKH #integration #recognition: Integration of Pose Recognition for a Person Wearing Short or Long Sleeves (TK, KY, KK, HH), pp. 1023–1026.
ICPR-v4-2002-WangTSHNY #image: Registering Panoramic Range Data and Omni-directional Color Image Based on Edge Histograms (CW, HT, YS, HH, YN, KY), pp. 355–358.
ICDAR-2001-IwataYYKIM #identification #library #using: Book Cover Identification by Using Four Directional Features Filed for a Small-Scale Library System (KI, KY, MY, KK, MI, KM), pp. 582–586.
ICPR-v2-2000-HongoOYY #gesture #human-computer #interactive #recognition: Face and Hand Gesture Recognition for Human-Computer Interaction (HH, MO, MY, KY), pp. 2921–2924.
ICDAR-1999-OkamotoY #online #recognition #using: On-line Handwritten Character Recognition Method using Directional Features and Clockwise/Counterwise Direction-Change Features (MO, KY), pp. 491–494.
ICPR-1998-OkamotoNY #online #recognition: Direction-change features of imaginary strokes for on-line handwriting character recognition (MO, AN, KY), pp. 1747–1751.
ICDAR-1997-HoriuchiHYY #2d #normalisation #recognition #using: Two-dimensional Extension of Nonlinear Normalization Method using Line Density for Character Recognition (TH, RH, HY, KY), pp. 511–514.
ICDAR-1997-OkamotoY #online #recognition: On-line handwriting character recognition method with directional features and direction-change features (MO, KY), pp. 926–930.
ICPR-1996-HarukiHYY #3d #automation #using #verification: Automatic seal verification using three-dimensional reference seals (HH, TH, HY, KY), pp. 199–203.
ICPR-1996-HoriuchiYY #nondeterminism #robust: Robust relaxation method for structural matching under uncertainty (TH, KY, HY), pp. 176–180.
ICPR-1996-OkamotoYSY #network #online #string #using: On-line handwriting character string separation method using network expression (MO, HY, KS, KY), pp. 422–425.
ICDAR-v1-1995-HoriuchiTYY #optimisation #probability #process: Relaxation optimizing processes in extended probabilistic space (TH, KT, KY, HY), pp. 266–269.
ICDAR-v1-1995-TanahashiSY #algorithm #image #search-based #using: Recovering decorative patterns of ceramic objects from a monocular image using a genetic algorithm (HT, KS, KY), pp. 339–342.
ICDAR-1993-HoriuchiTYY #on the #recognition #using: On method of training dictionaries for handwritten character recognition using relaxation matching (TH, KT, KY, HY), pp. 638–641.
ICDAR-1993-HoriuchiTYY93a #image #recognition #using: Stamped character recognition method using range image (TH, KT, HY, KY), pp. 782–785.
ICDAR-1993-HoriuchiTYYI #optimisation #problem: Generalized interpretation of optimization methods for labeling problems (TH, KT, HY, KY, TI), pp. 6–9.
ICDAR-1993-YamamotoYM #parallel #re-engineering #recognition: Symbol recognition and surface reconstruction from topographic map by parallel method (KY, HY, SM), pp. 914–917.
ICDAR-1993-YasudaYY #correlation #recognition: Effect of the perturbed correlation method for optical character recognition (MY, KY, HY), pp. 830–833.
Haskell-2013-VoellmyWHY #haskell #manycore #named: Mio: a high-performance multicore io manager for GHC (AV, JW, PH, KY), pp. 129–140.
Haskell-2016-Yamamoto #case study #experience #haskell #performance: Experience report: developing high performance HTTP/2 server in Haskell (KY), pp. 74–79.
CASE-2018-ShimasakiOJTIY #image #pattern matching #pattern recognition #recognition #using: HFR-video-based Image Pattern Recognition Using Pixel-level Temporal Frequency Response Matching (KS, TO, MJ, TT, II, KY), pp. 451–456.