何再兴 - 浙江大学 - 机械工程学院

个人简介

浙江大学副教授、“求是青年学者”。获浙江大学学士、硕士，日本Hokkaido University博士学位。

研究领域

主要研究方向有机器人视觉、光学三维测量、深度学习、模式识别等

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] Z He, Z Jiang, X Zhao, S Zhang, C Wu, "Sparse template-based 6D pose estimation of metal parts using a monocular camera," IEEE Transactions on Industrial Electronics, 2020-01, 67, 1, 390-401, SCI (ZJU100, 工学顶级期刊, IF=7.503). [2] Z He, C Wu, S Zhang, X Zhao, "Moment-based 2 1/2D visual servoing for textureless planar part grasping," IEEE Transactions on Industrial Electronics, 2019-10, 66, 10, 7821-7830, SCI (ZJU100, 工学顶级期刊, IF=7.503). [3] X Zhao, *Z He, S Zhang, D Liang, Robust Pedestrian Detection In Thermal Infrared Imagery Using A Shape Distribution Histogram Feature And Modified Sparse Representation Classification, Pattern Recognition, 2015-06, 48, 6, 1947-1960, SCI（TOP, 模式识别顶级期刊，IF=5.898）. [4] X Zhao, *Z He, S Zhang, S Kaneko, Y Satoh, Robust Face Recognition Using The Gap Feature, Pattern Recognition, 2013-10, 46, 10, 2647-2657, SCI（TOP, 模式识别顶级期刊，IF=5.898）. [5] Z He, T Ogawa, S Takahashi, M Haseyama, X Zhao, Improvement Of Video Coding Efficiency Based On Sparse Contractive Mapping Approach, Neurocomputing, 2016-01, 173, , 1898-1907, SCI (JCR 1区期刊, IF=4.072). [6] Z He, X Zhao, S Zhang, Random Combination For Information Extraction In Compressed Sensing And Sparse Representation-based Pattern Recognition, Neurocomputing, 2014-12, 145, , 160-173, SCI (JCR 1区期刊, IF=4.072). [7] X Zhao, *Z He, S Zhang, D Liang, A Sparse-representation-based Robust Inspection System For Hidden Defects Classification In Casting Components, Neurocomputing, 2015-04, 153, , 1-10, SCI (JCR 1区期刊, IF=4.072). [8] Z He, X Zhao, Msrc-based Defective Nanocrystalline Soft Magnetic Ribbon Detection, Measurement Science & Technology, 2015-09, 26, 9, 095604, SCI（TOP, IF=1.861）. [9] C Wu, *Z He, S Zhang, A circular feature-based pose measurement method for metal part grasping, Measurement Science & Technology, 2017-12, 28, 2, SCI（TOP, IF=1.861）. [10] F Hu, *Z He, X Zhao, S Zhang. A novel vision-based mold monitoring system in an environment of intense vibration. Measurement Science & Technology, 2017-10, 28, 10, 115009, SCI（TOP, IF=1.861）. [11] X He, *Z He, S Zhang, A Novel Vision-based Pet Bottle Recycling Facility, Measurement Science & Technology, 2017-02, 28, 2, SCI（TOP, IF=1.861）.