三维机器视觉实验室
3D Machine Vision Lab
周刚 Gang Zhou

个人简介:

对模式识别、图像去噪/去模糊、超分辨率、目标检测与跟踪等领域的理论知识具有一定的掌握,并熟练掌握算法优化和实时信息处理算法移植技术,尤其擅长复杂条件下的目标检测、识别;擅于分析微分方程模型统计特性,成功设计出优秀的去条带、超分辨率增强算法。具备优秀的计算机软件研发能力,熟练使用C/C++和Matlab编程语言;掌握基本的Open-CV开发库的使用。

学习工作经历:

  • 2002.9-2006.6 长沙理工大学 信息与计算科学 理学学士

  • 2007.9-2010.6 贵州民族学院 概率论与数理统计 理学硕士

  • 2010.9-2016.3 华中科技大学 模式识别与智能系统 工学博士

  • 2016年9月-今 华中科技大学 材料科学与工程学院 博士后

研究方向:

  • 图像增强

  • 超分辨率

  • 目标识别与跟踪

  • 偏微分应用

代表性论文:

  • Tianxu Zhang, Gang Zhou, Chao Zhang, Gaofei Li, Jianchong Chen, Kuan Liu.  “A Novel Temporal-Spatial Variable Scale Algorithm for Detecting Multiple Moving Objects”, IEEE Transactions on Aerospace and Electronic Systems, Vol. 51, NO. 1, January 2015. (SCI)

  • Gang Zhou, Houzhang Fang, Luxin Yan, Tianxu Zhang, Jing Hu. “Removal of Stripe Noise with Spatially Adaptive Unidirectional Total Variation”, International Journal for Light and Electron Optics, Volume 125, Issue 12, June 2014, Pages 2756~2762, DOI: 10.1016/j.ijleo.2013.11.031. (SCI)

  • Gang Zhou, Houzhang Fang, Cen Lu, Siyue Wang, Zhiyong Zuo, Jing Hu. “Robust Destriping of MODIS and Hyperspectral Data Using a Hybrid Unidirectional Total Variation Model”, International Journal for Light and Electron Optics, Optik 126 (2015) 838~845. (SCI)

  • Yaozong Zhang, Gang Zhou, Luxin Yan, Tianxu Zhang. “A Destriping Algorithm based on TV -Stokes and Unidirectional Total Variation Model”, Optik-International Journal for Light and Electron Optics, 2016, 127(1): 428-439.

  • Gang Zhou and Youfu Wu. “Anomalous Event Detection Based on Self-Organizing Map for Supermarket Monitoring”, International Conference on Information Engineering and Computer Science, 2009. 19-20 Dec. 2009, Pages 1~4, Wuhan,China,DOI:10.1109/ICIECS.2009.5364586. (EI)

  • Youfu Wu, Gang Zhou, Jing Wu. “A Monitoring System for Supermarket Based on Trajectory of Palm” , International Journal of Advancements in Computing Technology, Volume 2, Number 1, March 2010, DOI: 10.4156/ijact.vol2.issue1.1.(EI)

  • Youfu Wu, Hongmei Liu, Gang Zhou. “A Corner Model and Optimal Filter”, 2008 International Conference on Computer Science and Software Engineering, Pages 989~992. (EI)

  • Youfu Wu, Yongwu Wu, Gang Zhou, Jing Wu. “Recognizing Characters Based on Gaussian Hermite Moments and BP Neural Networks”, 2010 International Conference on Intelligent Computation Technology and Automation. vol.2, Pages 992~995, 11-12 May 2010. (EI)

  • Youfu Wu, Gang Zhou, Jing Wu. “Moving Object Segmentation for Determining Direction”, Global Congress on Intelligent Systems, 2009. vol.4, Pages 472~476, 19~21 May 2009. (EI)

  • Youfu Wu, Mo Dai, Hongmei Liu, Gang Zhou. Discrete Gaussian-Hermite Moments and its Applications, 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008. Pages 1-4, 12-14 Oct. 2008.(EI)

  • Youfu Wu, Jing Wu, Gang Zhou. Adaptive Human Body Tracking and its Abnormality Deportment Analysis, Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009. vol.3, no., Pages 503-507, 14-16 Aug. 2009, DOI: 10.1109/FSKD.2009.575.

  • Tianxu Zhang, Gang Zhou, Chao Zhang and Hao Li. “Multiple Moving Objects Detection with Movement Evidence Region Growing in Spatial-Temporal Domain”, IPT14 International Conference on Optoelectronic Technology and Application 2014. Invited Speaker. (EI)

  • Tianxu Zhang, Gang Zhou, Ying Yang, Wenjie Weng, Xiangdong Sun. “A novel multiscale recursive recognition method for flying airplane objects”,Proceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, v2, Pages 1179~1185, July 16 ~July 19, 2012. (EI)

  • Cen Lu, Gang Zhou. “Template match using local feature with view invariance”,MIPPR 2013: Pattern Recognition and Computer Vision, Volume 8919, 26~27 Oct. 2013. (EI)

  • Hu Zhu, Lizhen Deng, Gaihua Wang, Gang Zhou, Xiaodong Bai. Fast ground target detection method in infrared image sequences. Audio, Language and Image Processing (ICALIP), 2012 International Conference on. IEEE, 2012: 893-897. (EI)

  • Hu Zhu, Lizhen Deng, Xiaodong Bai, Gang Zhou. A detection method of infrared target based on the ridgeline extraction. Image Analysis and Signal Processing (IASP), 2012 International Conference on. IEEE, 2012: 1-4. (EI)

  • Hu Zhu, Lizhen Deng, Gang Zhou, Xiaodong Bai, Gaihua Wang. Target recognition method based on template matching in downward-looking infrared image", 2012 International Conference on Audio, Language and Image Processing, Pages 898-902.(EI)

  • Zhiyong Zuo, Xia Lan, Gang Zhou, and Xianwei Liu. “A Time Dependent Model via Non-local Operator for Image Restoration”, In 7th International Conference on Intelligent Systems and Knowledge Engineering. 2014. 217-224. (EI)

  • Zhiyong Zuo, Tianxu Zhang, Jing Hu, Gang Zhou. “A new method for removing impulse noise based on noise space characteristic”, International Journal for Light and Electron Optics, Volume 124, Issue 18, September 2013, Pages 3503-3509, DOI:10.1016/j.ijleo.2012.10.014.(SCI)

  • Xiaojuan Ma, Renlong Pan, Gang Zhou, Lin Wang. “Application of Principal Components Regression Analysis on Income Distribution”, Guizhou Science 28(2):22-25, 2010.

  • Xiaojuan Ma, Gang Zhou, Renlong Pan. “License Plate Character Recognition Based on BP Neural Network”, Journal of Jiamusi University (Natural Science Edition), Vol.27, No.6, Nov.2009.

  • Lingling Luo, Gang Zhou. “Applications of Support Vector Machine to Freezing”, Journal of Lang fang Teachers College (Natural Science Edition), Vol.9, No.6, Dec.2009.

专利:

  • 一种三维模糊空间目标识别方法(201210594903.8, 排名2)

  • 一种单目空间目标测距测角方法(201210594277.2,排名3)

  • 一种单目图像的非完整xx目标联想测距测角方法(受理中,排名2)

  • 一种非均匀照明条件下的空间目标分割方法(201210593200.3, 排名3)

  • 一种模型约束下的在轨三维空间目标姿态估计方法(201310740553.6, 排名3)

  • 一种气动热辐射指纹库的建立方法及其应用(201210594906.1, 排名4)

  • 知识约束的公路车辆目标图像气动光学效应校正方法(201310753635.4, 排名5)

  • 机场飞机目标图像气动光学效应校正方法(201310753610.4, 排名5)

  • 一种基于噪声空间特性的非线性滤波去噪方法(201110098209.2, 排名6)

  • 一种利用目标图像频谱特性的频域滤波去噪方法(201110106299.5, 排名6)

  • 一种空间目标主体长度测量方法(201210593203.7, 排名8)

  • 一种抗误码和丢包的信源编码与智能解码方法(201410851500.6, 排名8)

  • 一种高速条件下红外成像谱段优化选择方法(201110134064.7, 排名8)

  • 一种方向自适应图像去模糊方法(201410844605.9,已申请PCT, 排名2)