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个人简介 The IEEE CTSoc International Conference on Gaming, Entertainment & Media (GEM) 国际会议将于意大利Turin（都灵）召开，欢迎各位学者投稿（https://www.ieee-gem2024.org/）。     何再兴，男， 浙江大学副教授, 获浙江大学学士（06）、硕士（08），日本Hokkaido University（北海道大学）博士学位（12）。    长期从事智能视觉检测技术与装备设计制造方面的研究，研究方向主要涉及机器人视觉、光学三维测量、缺陷检测等技术及相关机器人、检测装备设计制造，在这些方面展开了系统、深入的研究，取得了一系列具有国际影响力的创新性研究成果：获浙江省科技进步一等奖1项，近年来以第一/通讯作者发表SCI论文43篇，其中TOP期刊（中科院1/2区、及(原)浙大TOP期刊）论文27篇，在领域顶级期刊《IEEE Transactions on Robotics》、《IEEE-ASME Transactions on Mechatronics》、《IEEE Transactions on Industrial Informatics》、《IEEE Transactions on Industrial Electronics》、《Pattern Recognition》、《IEEE Transactions on Instrumentation and Measurement》等期刊上发表原创性研究长文15篇。获2019 IEEE 8th Global Conference on Consumer Electronics (GCCE) 国际会议最佳论文金奖（435 篇论文中选出唯一1篇）。主持国家自然科学基金（3项）、国家科技重大专项子课题、国家重点研发计划子课题等重要项目10多项，授权发明专利28项。担任或曾担任主要学术兼职等：(1) IEEE 高级会员（Senior Member）；(2) IEEE ITSS技术委员会委员;(3) IEEE CTS 技术委员会委员;(4) SCI期刊Mathematics客座主编；(5) SCI期刊IEEE Transactions on Consumer Electronics客座编辑；(6) 多个国际会议程序委员会主席或组委会成员；(7) 20多个SCI期刊（10多个中科院1区）审稿人：包括《IEEE Transactions on Industrial Informatics》、《Pattern Recognition》、《IEEE Transactions on Signal Processing》、《IEEE Transactions on Circuits and Systems for Video Technology》、《IEEE Transactions on Intelligent Transportation Systems》、《IEEE-ASME Transactions on Mechatronics》、《IEEE Transactions on Industrial Electronics》等。本人致力于做一流的、贴近工业应用的科学研究，发表一流的学术成果。欢迎有志于科研的本校及外校保研同学加入课题组（请尽早与本人联系），在本课题组需要有刻苦专研精神、良好的算法编程基础。另外欢迎成绩优异，学有余力的同学参与课题组的科研训练项目（SRTP等）。代表性TOP期刊论文： [24] Z. He, P. Li, X. Zhao, S. Zhang, and J. Tan. Fast Projection Defocus Correction for Multiple Projection Surface Types, IEEE Transactions on Industrial Informatics （中科院1区TOP期刊, IF=10.215）, vol. 17, no. 5, pp. 3044-3055, May 2021.[23] J. Jiang, Z. He, X. Zhao, S. Zhang, C. Wu, and Y. Wang. Improving 6DoF Object Pose Estimation with 2D Keypoint Long-Short-Range-Aware Registration, IEEE Transactions on Industrial Informatics （中科院1区TOP期刊, IF=10.215）, Online,  2022.[22] Z. He, M. Wu, X. Zhao, S. Zhang, and J. Tan. Representative null space LDA for discriminative dimensionality reduction, Pattern Recognition （中科院1区TOP期刊, IF= 7.740）, vol. 111, 107664, March 2021.[21] Z. He, L. Kang, X. Zhao, S. Zhang, and J. Tan. Robust Laser Stripe Extraction for 3D Measurement of Complex Objects, Measurement Science and Technology （TOP期刊, IF=2.046）, vol. 32, no. 6, 065002, Jun 2021.[20] Z. He, M. Wu, X. Zhao, S. Zhang, and J. Tan. A generative feature-to-image robotic vision framework for 6-D pose estimation of metal parts, IEEE-ASME Transactions on Mechatronics （中科院1区TOP期刊, IF=5.303）, Published Online, 2022.[19] C. Wu, L. Chen, Z. He and J. Jiang. Pseudo-Siamese Graph Matching Network for Textureless Objects’ 6-D Pose Estimation, IEEE Transactions on Industrial Electronics （中科院1区TOP期刊, IF= 8.236）, vol. 69, no. 3, pp. 2718-2727, March 2022.[18] F. Guo, Z. He, S. Zhang, X. Zhao, J. Fang, and J. Tan. Normalized Edge Convolutional Networks for Skeleton-based Hand Gesture Recognition, Pattern Recognition （中科院1区TOP期刊, IF= 7.740）, vol. 118, 108044, Oct 2021.[17] J. Jiang, Z. He, S. Zhang, X. Zhao, and J. Tan. Learning to transfer focus of graph neural network for scene graph parsing, Pattern Recognition （中科院1区TOP期刊, IF= 7.740）, vol. 112, 107707, Apr 2021.[16] Z. He, P. Li, X. Zhao, L. Kang, S. Zhang and J. Tan. Chessboard-Like High-Frequency Patterns for 3D Measurement of Reflective Surface, IEEE Transactions on Instrumentation and Measurement （TOP期刊, IF= 4.016）, vol. 70, Apr 2021.[15] Z. He, W. Feng, X. Zhao, S. Zhang, and J. Tan. 6D pose measurement of metal parts based on virtual geometric feature point matching, Measurement Science and Technology （TOP期刊, IF=2.046）, vol. 32, No. 12, 125210, October 2021[14] Z. He, Z. Jiang, X. Zhao, S. Zhang and C. Wu. Sparse Template-Based 6-D Pose Estimation of Metal Parts Using a Monocular Camera, IEEE Transactions on Industrial Electronics （中科院1区TOP期刊, IF= 8.236）, vol. 67, no. 1, pp. 390-401, Jan. 2020.[13] Z. He, H. Wang, X. Zhao, S. Zhang, and J. Tan. Inward-region-growing-based accurate partitioning of closely stacked objects for bin-picking, Measurement Science and Technology （TOP期刊, IF=2.046）, vol. 31, no. 12, 125901, Dec 2020.[12] Z. He, P. Li, X. Zhao, S. Zhang, and J. Tan. Beyond phase error compensation: pixel mapping-based error correction for high-accuracy 3D surface measurement, Measurement Science and Technology （TOP期刊, IF=2.046）, vol. 31, no. 6, 065007, Jun 2020.[11] X Zhao, Q Lian, Z He, and S Zhang. Region-based online flaw detection of 3D printing via fringe projection. Measurement Science and Technology （TOP期刊, IF=2.046）, vol. 31, 035011, Mar 2020.[10] Z. He, C. Wu, S. Zhang and X. Zhao. Moment-Based 2.5-D Visual Servoing for Textureless Planar Part Grasping, IEEE Transactions on Industrial Electronics （中科院1区TOP期刊, IF= 8.236）, vol. 66, no. 10, pp. 7821-7830, Oct. 2019[9] C. Wu, Z. He, S. Zhang, and X. Zhao. A circular feature-based pose measurement method for metal part grasping, Measurement Science and Technology （TOP期刊, IF=2.046）, vol. 28, no. 2, 115009, Oct 2017.[8] F. Hu, Z. He, X. Zhao, and S. Zhang. A novel vision-based mold monitoring system in an environment of intense vibration. Measurement Science and Technology （TOP期刊, IF=2.046）, vol. 28, no. 10, 105906,  Oct 2017.[7] X. He, Z. He, S. Zhang, and X. Zhao. A Novel Vision-based Pet Bottle Recycling Facility, Measurement Science and Technology （TOP期刊, IF=2.046）, vol. 28, no. 2, 025601,Feb 2017. [6] Z. He, T. Ogawa, S. Takahashi, M. Haseyama, and X. Zhao, Improvement of  Video Coding Efficiency Based On Sparse Contractive Mapping Approach, Neurocomputing （TOP期刊, IF=5.719）, vol. 173, pp. 1898-1907, Jan 2016.[5] X. Zhao, Z. He, S. Zhang, and D. Liang. Robust Pedestrian Detection In Thermal Infrared Imagery Using A Shape Distribution Histogram Feature And Modified Sparse Representation Classification, Pattern Recognition （中科院1区TOP期刊, IF= 7.740）, vol. 48, no. 6, pp. 1947-1960, Jun 2015.[4] Z. He, X Zhao. MSRC-based Defective Nanocrystalline Soft Magnetic Ribbon Detection, Measurement Science and Technology （TOP期刊, IF=2.046）, vol. 26, no. 9, 095604, Sep 2015.[3] X Zhao, Z. He, S Zhang. and D. Liang, A Sparse-Representation-based Robust Inspection System for Hidden Defects Classification in Casting Components, Neurocomputing （TOP期刊, IF=5.719）, vol. 153, pp. 1-10, Apr 2015.[2] Z. He, X. Zhao, and S. Zhang. Random Combination for Information Extraction In Compressed Sensing And Sparse Representation-based Pattern Recognition, Neurocomputing （TOP期刊, IF=5.719）, vol. 145, pp. 160-173, Dec 2014. [1] X. Zhao, Z. He, S. Zhang, S. Kaneko, and Y. Satoh. Robust Face Recognition Using the Gap Feature, Pattern Recognition （中科院1区TOP期刊, IF= 7.740）, vol. 46, no. 10, pp. 2647-2657, Oct 2013.