FUKUI Kazuhiro
- Articles
- Finger alphabets recognition with multi-depth images for developing their learning system
Fukui Kazuhiro
20th Korea-Japan Joint Workshop on Frontiers of compuer vision (FCV2014), 2014-02 - Block-based KOMSM for hand shape recognition with occlusion
Fukui Kazuhiro
20th Korea-Japan Joint Workshop on Frontiers of compuer vision (FCV2014), 2014-02 - Kinectを用いた指文字練習システムにおける識別処理とユーザインタフェースの改良
福井 和広
HCG(ヒューマンコミュニケーショングループ)シンポジウム2013, 2013-12 - Combination of Multiple Distance Measures for Protein Fold Classification
Suryanto Chendra; Hino Hideitsu; Fukui Kazuhiro
In Proceedings of Pattern Recognition (ACPR), 2013 2nd IAPR Asian Conference on/pp.440-445, 2013-11 - Combination of Multiple Distance Measures for Protein Fold Classification
Fukui Kazuhiro
The 2nd IAPR Asian conference on pattern recognition (ACPR2013)/pp.440-445, 2013-11 - Gaze Detection Towards a Vision Switch
山崎 泰幸; 溝口 博; 福井 和広
Technical report of IEICE. PRMU/113(63)/pp.1-6, 2013-05 - raining system for learning finger alphabets with feedback functions
高林 大輔; 大川 泰弘; 瀬戸 山浩平; 田中 陽土; 加藤 伸子; 岡崎 彰夫; 福井 和広
Technical report of IEICE. HIP/112(483)/pp.79-84, 2013-03 - フィードバック機能を備えた指文字学習支援システムの開発
福井 和広
ビジョン技術の実利用ワークショップ(ViEW2013)/IS2-C1, 2013-03 - 複数視点からの画像を用いた手形状識別
福井 和広; 大川 泰弘; 加藤 伸子; 岡崎 彰夫
Technical report of IEICE. HIP/112(483)/pp.59-64, 2013-03 - Hand-Shape Recognition Using the Distributions of Multi-Viewpoint Image Sets
Ohkawa Yasuhiro; Fukui Kazuhiro
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS/E95D(6)/pp.1619-1627, 2012-06 - Pupils Tracking Using Multiple Coordinating Particle Filters
大谷 悠祐; 福井 和広
The IEICE transactions on information and systems (Japanese edetion)/95(6)/pp.1380-1389, 2012-06 - Both-hand Gesture Recognition Based on KOMSM with Volume Subspaces for Robot Teleoperation
Martin Peris Martorell; Kazuhiro Fukui
IEEE-Cyber2012, 2012-05 - Fingerspelling Recognition based on AdaBoost with Hand-shape CG images
田路 賢太郎; 瀬戸山 浩平; 大川 泰弘; 加藤 伸子; 岡崎 彰夫; 福井 和広
IEICE technical report. Welfare Information technology/111(472)/pp.7-12, 2012-03 - On Visual Feedback in a Fingerspelling Training System using Image Recognition
瀬戸山 浩平; 田路 賢太郎; 大川 泰弘; 加藤 伸子; 福井 和広; 岡崎 彰夫
IEICE technical report. Welfare Information technology/111(472)/pp.1-5, 2012-03 - Separability snake driven with particle filter for tracking a microorganism
高木 雅武; 福井 和広
IEICE technical report. Speech/111(431)/pp.167-172, 2012-02 - Realistic CG Stereo Image Dataset with Ground Truth Disparity Maps
MARTULL Sarah; PERIS Martin; FUKUI Kazuhiro
Technical report of IEICE. PRMU/111(430)/pp.117-118, 2012-02 - Separability snake driven with particle filter for tracking a microorganism
高木 雅武; 福井 和広
Technical report of IEICE. PRMU/111(430)/pp.167-172, 2012-02 - Realistic CG Stereo Image Dataset with Ground Truth Disparity Maps
MARTULL Sarah; PERIS Martin; FUKUI Kazuhiro
IEICE technical report. Speech/111(431)/pp.117-118, 2012-02 - Feature Extraction Based on Co-occurrence of Adjacent Local Binary Patterns
Nosaka Ryusuke; Yasuhiro Ohkawa; Kazuhiro Fukui
PSIVT2011/LNCS-7088/p.82-91, 2011-11 - A Study on Whitening Transform on Hypersphere and its Applications : Improvement of Classifiers based on Canonical Angles
大川 泰弘; 福井 和広
Technical report of IEICE. PRMU/111(222)/pp.25-30, 2011-09 - Compound Mutual Subspace Method and Its Application to Face Recognition
秋廣 直紀; 福井 和広
The IEICE transactions on information and systems (Japanese edetion)/94(8)/pp.1240-1247, 2011-08 - Feature Extraction Based on Adjacency Relationship of Local Binary Patterns
野坂 龍佑; 大川 泰弘; 福井 和広
IEICE technical report/111(194)/pp.75-80, 2011-08 - Feature Extraction Based on Adjacency Relationship of Local Binary Patterns
野坂 龍佑; 大川 泰弘; 福井 和広
Technical report of IEICE. PRMU/111(193)/pp.75-80, 2011-08 - Feature Extraction Based on Adjacency Relationship of Local Binary Patterns
野坂 龍佑; 大川 泰弘; 福井 和広
IPSJ SIG Notes. CVIM/2011(12)/pp.1-6, 2011-08 - Image-set based Hand Shape Recognition based on Camera Selection Driven by Multi-class Adaboosting
Y. Ohkawa; Chendra Hadi Suryanto; K.Fukui; +福井 和広
ISVC2011/LNCS-6939/p.555-566, 2011-07 - more...
- Finger alphabets recognition with multi-depth images for developing their learning system