柴秀娟

柴秀娟，中國科學院計算技術研究所副研究員，研究方向為模式識別，計算機視覺，人機互動等領域

基本介紹

• 中文名：柴秀娟
• 畢業院校：哈爾濱工業大學
• 性別：女
• 職稱：副研究員

基本信息

姓名：柴秀娟

性別：女

職稱：副研究員

學科類別:計算機套用

所屬部門:智慧型信息處理重點實驗室

專家類別:副高

個人簡歷

2013年9月 — 今 ：中國科學院計算技術研究所，副研究員

2009年7月 — 2013年9月：中國科學院計算技術研究所，助理研究員

2007年9月 — 2009年7月：諾基亞研究中心(北京)，博士後

2002年7月— 2007年9月：哈爾濱工業大學，計算機學院，博士生

2000年7月— 2002年7月：哈爾濱工業大學，計算機學院，碩士生

1996年9月— 2000年7月：哈爾濱工業大學，計算機學院，本科生

研究方向

模式識別，計算機視覺，人機互動

期刊文章

[1] Xiaowei Zhao, Xiujuan Chai, Zhiheng Niu, Cherkeng Heng, Shiguang Shan.?Context Modeling for Facial Landmark Detection Based on Non-Adjacent Rectangle (NAR) Haar-like Feature. Image and Vision Computing

[2] Bingpeng Ma, Xiujuan Chai and Tianjiang Wang.?A Novel Feature Descriptor based on Biologically Inspired Feature for Head Pose Estimation

[3] Xiujuan Chai, Shiguang Shan, Xilin Chen, Wen Gao. Locally linear Regression for Pose Invariant Face Recognition. IEEE Trans. On Image Processing. Vol

[4] Changhong Liu, Xiujuan Chai, Shiguang Shan, Motoyasu Honma, Yoshihisa Osada. Synthesized Views Can Improve Face Recognition. Applied Cognitive Psychology

[5] 柴秀娟，山世光，卿來雲，陳熙霖，高文。 基於3D人臉重建的姿態，光照不變人臉識別。軟體學報

[6] 柴秀娟，山世光，高文，陳熙霖。基於樣例學習的面部特徵自動標定算法。軟體學報

[7] 柴秀娟，汪孔橋。基於分塊局部紋理描述的手勢識別。高技術通訊

[8] 林宇舜, 柴秀娟, 許志浩, 尹芳, 陳熙霖。在頻域上利用三維軌跡匹配進行手語識別。軟體學報. (已錄用)

會議文章

[1] Xiujuan Chai, Guang Li, Yushun Lin, Zhihao Xu, Yili Tang, Xilin Chen, Ming Zhou?.?Sign Language Recognition and Translation with Kinect. FG2013

[2] Xiujuan Chai, Guang Li, Xilin Chen, Ming Zhou, Guobin Wu, Hanjing Li.

[3] Xiujuan Chai, Zhihao Xu, Qian Li, Bingpeng Ma, Xilin Chen.?Robust Hand Tracking by Integrating Appearance, Location and Depth Cues

[4] Xiaowei Zhao, Xiujuan Chai, Shiguang Shan.?Joint Face Alignment: Rescue Bad Alignments with Good Ones by Regularized Re-fitting.

[5] Shaoxin Li, Xin Liu, Xiujuan Chai, Haihong Zhang, Shihong Lao, Shiguang Shan?.?Morphable Displacement Field based Image Matching for Face Recognition across Poses.?12th European Conference on Computer Vision (ECCV), Firenze, Italy

[6] Xiaowei Zhao, Shiguang Shan, Xiujuan Chai, Xilin Chen?.?Cascaded Shape Space Pruning for Robust Facial Landmark Detection.

[7] Dan Wang, Xiujuan Chai, Hongming Zhang, Hong Chang, Wei Zeng, Shiguang Shan, A Novel Coarse-to-Fine Hair Segmentation Method

[8] Xiaowei Zhao, Xiujuan Chai, Zhiheng Niu, Heng Cher Keng, Shiguang Shan, Context Constrained Facial Landmark Localization Based on Discontinuous Haar-like Feature

[9] Naye Ji, Xiujuan Chai, Shiguang Shan, Xilin Chen. Local Regression Model for Automatic Face Sketch Generation

[10] Xiujuan Chai, Yikai Fang, Kongqiao Wang. Robust Hand Gesture Analysis and Application in Gallery Browsing. IEEE Int’l Conf

[11] Xiujuan Chai, Kongqiao Wang, Luosi Wei, Hao Wang. Hand Gesture Tracking for Wearable Computing Systems. Int’l Conf. on Computer Vision Theory and Applications

[12] Xiujuan Chai, Shiguang Shan, Wen Gao and Bo Cao. Novel Example-Based Shape Learning For Fast Face Alignment. Int’l Conf. on Acoustic, Speech and Signal Processing (ICASSP’03), Hong Kong

[13] Xiujuan Chai, Shiguang Shan and Wen Gao. Pose Normalization for Robust Face Recognition Based on Statistical Affine Transformation

[14] Xiujuan Chai, Shiguang Shan and Wen Gao.? Fast Face Learning Method for Face Alignment. Lecture Notes in Computer Science 3021, Springer, The 5th Chinese Conference on Biometric Recognition

[15] Xiujuan Chai, Shiguang Shan, Wen Gao and Xin Liu. Pose Normalization Using Generic 3D Face Model as a Priori for Pose-Insensitive Face Recognition. AVPRA,?pp

[16] Xiujuan Chai, Laiyun Qing, Shiguang Shan, Xilin Chen and Wen Gao. Pose Invariant Face Recognition under Arbitrary Illumination based on 3D Face Reconstruction. Audio- and Video-based Biometric Person Authentication

[17] Xiujuan Chai, Shiguang Shan, Laiyun Qing and Wen Gao. Pose Estimation based on Gaussian Error Models. Int’l Conf. on Biometrics

[18] Xiujuan Chai, Shiguang Shan, Xilin Chen and Wen Gao. Local Linear Regression (LLR) for Pose Invariant Face Recognition. FG’06, Southampton

科研項目

NSFC青年：融合2D和3D信息的手勢分析方法的研究，項目負責人；

NSFC面上：跨姿態人臉識別研究， 主要參加人；

973課題：基於視覺特性的視頻編碼理論與方法研究，主要參加人。