柴秀娟

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柴秀娟,中国科学院计算技术研究所副研究员,研究方向为模式识别,计算机视觉,人机交互等领域
中文名
柴秀娟
毕业院校
哈尔滨工业大学
性    别
职    称
副研究员

柴秀娟基本信息

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姓名:柴秀娟
性别:女
职称:副研究员
学科类别:计算机应用
所属部门:智能信息处理重点实验室
专家类别:副高

柴秀娟个人简历

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2013年9月 — 今 :中国科学院计算技术研究所,副研究员
2009年7月 — 2013年9月:中国科学院计算技术研究所,助理研究员
2007年9月 — 2009年7月:诺基亚研究中心(北京),博士后
2002年7月— 2007年9月:哈尔滨工业大学,计算机学院,博士生
2000年7月— 2002年7月:哈尔滨工业大学,计算机学院,硕士生
1996年9月— 2000年7月:哈尔滨工业大学,计算机学院,本科生

柴秀娟研究方向

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模式识别,计算机视觉,人机交互

柴秀娟期刊文章

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[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,卿来云,陈熙霖,高文。 基于3D人脸重建的姿态,光照不变人脸识别。软件学报
[6] 柴秀娟,山世光,高文,陈熙霖。基于样例学习的面部特征自动标定算法。软件学报
[7] 柴秀娟,汪孔桥。基于分块局部纹理描述的手势识别。高技术通讯
[8] 林宇舜, 柴秀娟, 许志浩, 尹芳, 陈熙霖。在频域上利用三维轨迹匹配进行手语识别。软件学报. (已录用)

柴秀娟会议文章

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[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

柴秀娟科研项目

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NSFC青年:融合2D和3D信息的手势分析方法的研究,项目负责人;
NSFC面上:跨姿态人脸识别研究, 主要参加人;
973课题:基于视觉特性的视频编码理论与方法研究,主要参加人。[1] 
参考资料
  • 1.    科研人员  .中国科学院计算技术研究所.2014-01-13[引用日期2014-01-13]
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