HOME |日本語 |English






2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003-


Jounals(with referees)
[1] Xian-Hua Han, Xu Qiao and Yen-Wei Chen, “Multilinear Supervised Neighborhood Embedding with Local Descriptor Tensor for Face Recognition,” IEICE Transactions. Vol.E94-D, No.1, pp. 158-161 (2011-1).
[2] Xu Qiao, Xianhua Han, Takanori Igarashi, Keisuke Nakao and Yen-Wei Chen, “Tensor-Based Subspace Learning and Its Applications in Multi-Pose Face Synthesis,” Neurocomputing,Vol.73, pp. 2727-2736 (2010) .
[3] Danni Ai, Xianhua Han, Xiang Ruan and Yen-Wei Chen, “Color Independent Components based SIFT Descriptors for Object/Scene Classification,” IEICE Transactions. Vol.E93-D,No.9, pp. 2577-2586 (2010).
[4] Guifang Duan, Yen-Wei Chen, Takeshi Sukegawa, “Automatic optical flank wear measurement of microdrills using level set for cutting plane segmentation,” Machine Vision and Applications, Vol.21, pp.667-676 (2010).
[5] F. Babapour Mofrad, R. Aghaeizadeh Zoroofi, A. Abbaspour Tehrani Fard1, Sh. Akhlaghpoor, Y.W. Chen, Y. Sato: “Individual virtual phantom reconstruction for organ dosimetry based on standard available phantoms,” Iran. J. Radiat. Res., Vol.7, pp.201-206 (2010).
[6] Hu-Chuan Lu, Guo-Liang Fang, Chao Wang and Yen-Wei Chen, “A novel method for gaze tracking by local pattern model and support vector regressor,” Signal Processing, Vol.90, pp.1290-1299 (2010).
[7] Xinyin Huang, Shouta Sobue and Yen-Wei Chen: “Retrieval of Clothing Fabric Images Based on KANSEI Words,” Information, Vol.6, pp.215-230 (2011-2).
[8] Tatsuki Ueda, Shinsuke Fujioka, Shinya Nozaki, Rumiko Azuma, Yen-Wei Chen and Hiroaki Nishimura, “A uniformly redundant imaging array of penumbral apertures coupled with a heuristic reconstruction for hard x-ray and neutron imaging,” Review of Scientific Instruments. Vol.81, 073505 (2010-7) .
[9] 瀬尾昌孝, 陳延偉, “適応的格子法と部分変形法を用いた高速で自然なMulti-Level B-spline変換”, 日本知能情報ファジィ学会誌 Vol.23 No.2, 2011
Review Papers (without referees)
[1] 陳延偉:”超解像技術―ソフトウェアによる知的画像処理,”システム/制御/情報, Vol.54, No.10, pp.373-377 (2010)
[2] 大村瑞穂,瀬尾昌孝,陳延偉,青木博松:“Adaptive Table 法を用いた高速な B-spline 変換による小顔の自動生成,”画像ラボ, Vol.22, No.2, pp.16-22 (2011-2).
International Conference Papers (with referees)
[1] Yen-Wei Chen, Katsumi Tsubokawa, and Amir H. Foruzan, “Liver Segmentation from Low Contrast Open MR Scans Using K-Means Clustering and Graph-Cuts,” Lecture Notes in Computer Science, Springer, LNCS6064, pp.162-169(2010).
[2] Xu Qiao and Yen-Wei Chen: “Statistical Texture Modeling for Medical Volume Using Generalized N-Dimensional Principal Component Analysis Method and 3D Volume Morphing,” Proc. of ICPR2010, pp.2488-2491 (2010-8).
[3] Danni Ai, Xian-Hua Han, Xiang Ruan, Yen-Wei Chen: Adaptive Color Independent Components Based SIFT Descriptors for Image Classification. Proc. of ICPR 2010, pp.2436-2439 (2010).
[4] Xian-Hua Han, Yen-Wei Chen, Xiang Ruan: Image Categorization by Learned Nonlinear Subspace of Combined Visual-Words and Low-Level Features. Proc. of ICPR 2010, pp.3037-3040 (2010).
[5] Xian-Hua Han, Yen-Wei Chen, Xiang Ruan: Semi-supervised and Interactive Semantic Concept Learning for Scene Recognition. Proc. of ICPR 2010, pp.3045-3048 (2010).
[6] Yen-Wei Chen, Tomoko Tateyama, Amir H. Foruzan, F. Babapour Mofrad, Xu Qiao, Akira Furukawa: “Statistical Atlases of Human Anatomy and Computer Assisted Diagnostic System,” Proc. of SEDM, Chengdu, China, pp.700-705 (2010-6).
[7] Shinya Kohara, Tomoko Tateyama, Amir Hossein Foruzan, Akira Furukawa, and Yen-Wei Chen:” Application of Statistical Shape Model to Diagnosis of Liver Disease,” Proc. of SEDM, Chengdu, China, pp.680-683 (2010-6).
[8] Yasuhide Yoshida, Yen-Wei Chen, Futoshi Yokota, Toshiyuki Okada, Yoshinobu Sato, Masatoshi Hori: “Representation and Evaluation of Statistical Prediction Powers of Neighboring Organ Shapes for Construction of Multi-Organ Statistical Atlas,” Proc. of SEDM, Chengdu, China, pp.696-699 (2010-6).
[9] Yu Masuda, Amir Hossein Foruzan, Tomoko Tateyama and Yen-Wei Chen: ” Automatic Liver Tumor Detection Using EM/MPM Algorithm and Shape Information,” Proc. of SEDM, Chengdu, China, pp.692-695 (2010-6).
[10] Takeshi Nishida, Yen-Wei Chen, Naoki Matsushiro and Kunihiro Chihara: “An Image based Quantitative Evaluation Method for Facial Paralysis,” Proc. of SEDM, Chengdu, China, pp.706-709 (2010-6).
[11] Yae Kikutani, Atsushi Okamoto, Xian-Hua Han, Xiang Ruan and Yen-Wei Chen: “Hierarchical Classifier with Multiple Feature Weighted Fusion for Scene Recognition,” Proc. of SEDM, Chengdu, China, pp.648-652 (2010-6).
[12] Yoshiyuki Tanaka, Atsushi Okamoto, Xian-Hua Han, Xiang Ruan, Yen-Wei Chen, “Scene Image Recognition with Multi Level Resolution Semantic Modeling”, Proc. Of SEDM, Chengdu, China, pp.644-648(2010-6).
[13] Mizuho Ohmura, Masataka Seo, Hiromatsu Aoki and Yen-Wei Chen, Adaptive Table based fast B-spline transformation for facial image deformation, ”Proc. Of SEDM, Chengdu, China, pp.640-643(2010-6).
[14] Masataka SEO, Yen-Wei CHEN, “A Fast and Accurate Multi-level B-Spline Approximation with Adaptive Lattice Partitioning and Independent Subregions Transformation, ” Proc. Of SEDM, Chengdu, China, pp.657-662(2010-6).
[16] Shunta Hirayama, Toshiyuki Okada, Motoi Kinishi, Keigo Osuga, Masatoshi Hori, Yen-Wei Chen, Yoshinobu Sato, “Optimal shape determination of guidewire for liver catheterization based on 3D vessel structure”, Proc. Of SEDM, Chengdu, China, pp.688-691(2010-6).
[17] Junji Moriguchi, Takanori Igarashi, Keisuke Nakao, Yen-Wei Chen, “Dual-Subspaces based Quantitative Analysis of Facial Appearance”, Proc. Of SEDM, Chengdu, China, pp.652-656(2010-6).
[18] So Sasatani, Xian-Hua Han, Yen-Wei Chen, “Image registration using PCA and Gradient Method for Super-resolution Imaging”, Proc. Of SEDM, Chengdu, China, pp.631-634(2010-6).
[19] Taishi Tanaka, Tomoko Tateyama, Farshid Babapour Mofrad, Yen-Wei Chen, Kunihiro Chihara, “Spherical Harmonics Based 3-D Shape Modeling for spleen”, Proc. Of SEDM, Chengdu, China, pp.635- 639(2010-6).
Conference Presentation (without referees)
[1] 大村瑞穂, 瀬尾昌孝, 陳延偉, 青木博松:”Adaptive Table法を用いた高速なB-spline変換による小顔の自動生成,” 信学技報,Vol.10, No.27, pp.7-12 (2010-5).
[2] 瀬尾昌孝, 陳延偉:”適応的格子法と部分変形法を用いた高速・高精度なMulti-Level B-spline変換,” 信学技報,Vol.10, No.27, pp.13-18 (2010-5).
[3] 増田優,Amir Hossein Foruzan, 健山智子,陳延偉:”EM/MPMアルゴリズムと形状情報を用いた肝臓内腫瘍候補自動検出,” 信学技報,Vol.10, No.27, pp.25-30 (2010-5).
[4] 小原伸哉,Amir Hossein Foruzan, 健山智子,陳延偉,古川顕,金崎周造,若宮誠,村田喜代史:”肝臓の統計形状モデル構築と肝硬変診断支援への応用,” 信学技報,Vol.10, No.27, pp.31-36 (2010-5).
[5] 健山智子,田中泰史,小原伸哉,Amir Hossein Foruzan,古川顕,陳延偉:”2次元主成分分析を用いた少数サンプル症例からの統計形状モデル構築,” 信学技報,Vol.10, No.27, pp.103-108 (2010-5).
[6] 田中良幸,岡本充史,韓先花,阮翔,陳延偉:”多重解像度セマンティックモデルを用いた画像のシーン認識,” 信学技報,Vol.10, No.27, pp.169-174 (2010-5).
[7] 菊谷八重,岡本充史,韓先花,阮翔,陳延偉:”複数特徴量の融合および階層的分類法によるシーン認識,” 信学技報,Vol.10, No.27, pp.175-180 (2010-5).
[8] 笹谷聡,韓先花, 陳延偉:”主成分分析と勾配法を併用した位置合わせと超解像技術,” 信学技報,Vol.10, No.27, pp.193-198 (2010-5).
[9] 瀬尾昌孝, 陳延偉“統計形状モデルを用いた小顔の自動生成”,顔学会誌,顔学会誌,Vol.10, No.1, O1-01, p.108 (2010-11).
[10] 大村瑞穂, 瀬尾昌孝, 陳延偉, 青木博松“Adaptive Table法を用いた高速なB-spline変換による小顔の自動生成,” 顔学会誌, Vol.10, No.1, O1-02, p.109 (2010-11)
[11] 寺田卓馬, 五十嵐崇訓,中尾崇訓,陳延偉: “顔画像変形システムAFIMと主成分分析による顔の色成分の解析,” 顔学会誌, Vol.10, No.1, O1-10, (2010-11)
[12] 西田武史,松代直樹,陳延偉,千原國宏: “画像処理による顔面神経麻痺患者の定量評価,” 顔学会誌, Vol.10, No.1, O1-12, (2010-11)
[13] 守口順二, 五十嵐崇訓,中尾啓輔,陳延偉: “固有空間フィルタリング法を用いた顔の質感生成,” 顔学会誌, Vol.10, No.1, O2-05, (2010-11)
[14] 石本守, 五十嵐崇訓,中尾啓輔,陳延偉: “3次元表情動画像の生成とデ-タベ-ス構築,” 顔学会誌, Vol.10, No.1, O2-06, (2010-11)
[15] 瀬尾昌孝, 陳延偉“PCAを使用した顔画像の美顔補正”, 平成22年 電気関係学会関西支部連合大会 (平成22年電気関係学会関西支部連合大会奨励賞受賞), G13-22
[16] 大橋基範,岩本祐太郎,笹谷聡,韓先花,陳延偉, “多様体学習を用いた事例ベース超解像処理,” 平成22年 電気関係学会関西支部連合大会, G13-25
[17] 岩本祐太郎, 笹谷聡, 大橋基範, 韓先花, 陳延偉, “勾配情報に基づくエッジ保存補間”, 平成22年電気関係学会関西支部連合大会, G13-24.
[18] 進藤典,増田優,Amir H Foruzan,海堀昌樹,Liu Zhenyu,健山智子),權雅憲,陳延偉, “肝臓手術支援のための可視化システム開発,” 平成22年 電気関係学会関西支部連合大会,G14-28
[19] 和澄南, 鶴貝陽平, 韓先花, 陳延偉:“SPIN特徴量を用いた食事画像の自動認識と食事ログシステム構築,” 平成22年電気関係学会関西支部連合大会,G13-17.
[20] 北林大介,段桂芳,健山智子,木村亮介,陳延偉,” 遺伝子関連研究のための顔面形態解析 ~3次元顔形状データに対する位置合わせ~” 平成22年 電気関係学会関西支部連合大会(映像情報メディア学会優秀論文発表賞受賞), G13-21
[21] 大西那生,河林弥志,健山智子,榊原一紀,陳延偉: “Visual Marine Museumのための免疫系ネットワークに基づく自律型魚エージェントの構築,” 平成22年電気関係学会関西支部連合大会, G14-33.
[22] 健山智子, 進藤典, Amir Hossein Foruzan, 小原伸哉, 木西基, 林正倫, 増田優, 海堀昌樹, 權雅憲, 陳延偉 “肝臓分割と血管抽出による肝臓情報の三次元可視化と手術支援システム,” 信学技報,Vol.110, No.387, pp.33-38 (2011-1).
[23] 増田優, 健山智子, Wei Xiong, Jiayin Zhou, 若宮誠, 金崎周造, 古川顕, 陳延偉:”確率密度関数とEM/MPMアルゴリズムを用いたCT画像コントラスト強調と肝腫瘍検出”,  信学技報,Vol.10, No.381, pp.21-26 (2011-1)
[24] 小原伸哉,Amir Hossein Foruzan,健山智子,古川顕,金崎周造,若宮誠,村田喜代史,Xiong Wei,陳延偉,“統計的形状モデルを用いた肝硬変データの分類精度に関する定量評価”,信学技報,Vol.10, No.381, pp.27-32 (2011-1)
[25] 笹谷聡,韓先花,大橋基範,岩本祐太郎,陳延偉: “高周波成分を考慮したFace Hallucination法,” 信学技報, Vol.110, No.381, pp.323-328 (2011-1).
[26] Guifang Duan and Yen-Wei Chen, “Batch-Incremental and Robust Principle Component Analysis,” 信学技報, Vol.110, No.381, pp.161-166 (2011-1).
[27] 瀬尾昌孝,陳延偉,“PCAを用いた顔画像の自動的な印象変化” 2010電気関係学会全国大会
[28] 谷口和輝,韓先花,大橋基範,笹谷聡,岩本祐太郎,陳延偉,”RIPOCを用いた回転を考慮した位置合わせと超解像処理”,電気学会全国大会(2011-3)


Link | FAQ | Contact us

Copyrightc2004-2018 知的画像処理研究室, All rights reserved.