吴晓军 - 哈尔滨工业大学（深圳） - 机电工程与自动化学院

个人简介

1998 年和2001年在吉林大学获得学士和硕士学位，2004 年获得中国科学院沈阳自动化研究所机械电子工程博士学位。2004 年至2005 年在香港中文大学自动化与计算机辅助工程系从事研究工作。2005年10 月进入哈尔滨工业大学深圳研究生院从事博士后研究工作，2007被聘为副教授留校任教至今。2009年来，任职多个国际学术大会的国际程序委员会委员、编委，包括2009年IEEE国际信息与自动化大会，2011IEEE世界机器人与自动化大会Publication Chairs (2011 IEEE International Conference on Robotics and Automation, http://www.ieee-icra.org/ )，负责大会组织工作，担任2014年IEEE世界机器人与自动化大会(ICRA)副编辑( Associate Editor)。主持国家自然科学基金、博士后基金、教育部博士点新教师基金、深圳市基础研究学科布局、深圳市自然科学基金重点等纵向及横向课题共30余项，参与纵向及横向课题10多项，多次获得沈阳自动化所和中国科学院优秀研究生奖学金，2003 年获得中国科学院冠名奖学金——刘永龄特等奖；2007年获得计算机辅助设计国际会议最佳论文奖；2009年在ICIA2009国际会议上获得了最佳论文奖提名并获得了信息类最佳论文奖；2012年获得ICARCV国际会议最佳论文提名奖。2009年3月获得了深圳市高层次人才地方级领军人物称号，2009年6月被批准为广东省人民政府、教育部、科技部企业科技特派员，IEEE会员，IEEE RAS会员，担任国家自然科学基金委函评专家，广东省、深圳市、南山区科技评审专家。获奖情况 2017年获得ICVS国际会议最佳论文提名奖 2016年获得SPIE ICDIP国际会议最佳论文奖 2013年获得IEEE ICIA国际会议最佳论文奖 2012年12月获得ICARCV国际会议最佳论文提名奖 2010年1月获得深圳市地方级领军人才 2009年6月获得IEEE ICIA国际会议信息类最佳论文奖 2007年6月获得CAD国际会议最佳论文奖

研究领域

机器视觉算法、系统及应用深度学习算法及应用精密光学测量三维重建及三维信息处理

近期论文

查看导师最新文章（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）

书籍章节 Xiaojun Wu. Heterogeneous Object Modeling for Rapid Prototyping, Book chapter of Rapid Prototyping/Book I, InTech 2011. Peng Song, Xiaojun Wu. Multi-View Stereo Reconstruction Technique, Book Chapter of Depth Map and 3D Imaging Applications: Algorithms and Technologies, IGI Global, 2011. 三维重建及应用, 中国.深圳博士后创新讲堂, 第一辑,哈尔滨工业大学出版社，2008.9, 57-92. 期刊论文 Yiming Li, Xiaojun Wu*, Peng Li, Ferrite Beads Surface Defect Detection Based on Spatial Attention Under Weakly Supervised Learning, in IEEE Transactions on Instrumentation and Measurement, 2023, 72, 1-12, Art no. 2506812, doi: 10.1109/TIM.2023.3246499. Xiaojun Wu, Bo Liu, Peng Li, Yunhui Liu. A unified calibration method of 3D laser profile measurement with different of laser-line lengths. Robotic Intelligence and Automation, 2023, 43(1): 53-64. Xiaojun Wu, Tuo Wang, Yiming Li, Peng Li, Yunhui Liu. A CAM-based Weakly Supervised Method for Surface Defect Inspection, IEEE Transactions on Instrumentation and Measurement, 2022, DOI: 10.1109/TIM.2022.3168895. Yuhai Lan, Xiaojun Wu*, Yiming Li. GAD: A Global-Aware Diversity Based Template Matching Method. IEEE Transactions on Instrumentation and Measurement, 2022, vol.71, DOI: 10.1109/TIM.2022.3168895. Peng Li, Ming Tang, Ke Ding, Xiaojun Wu* and Yunhui Liu. Monocular Tissue Reconstruction via Remote Center Motion for Robot-Assisted Minimally Invasive Surgery., Complex and Intelligent Systems, 7, 2021, DOI: 10.1007/s40747-021-00485-9. Xiaojun Wu, Lingteng Qiu, Xiaodong Gu, Zhili Long. Deep Learning based Generic Automatic Surface Defect Inspection (ASDI) with Pixel-wise Segmentation. IEEE Transactions on Instrumentation and Measurement, 2021, 70. Xiaojun Wu, Jinghui Zhou, Jun Liu, Fangyi Ni, and Haoqiang Fan. Single-Shot Face Anti-Spoofing for Dual Pixel Camera, IEEE Transactions on Information Forensics and Security, 2020, 16, 1440-1451. Zhili long, Xing Zhou, Xiaojun Wu*. Cascaded Approach to Defect Location and Classification in Microelectronic Bonded Joints: Improved Level Set and Random Forest. IEEE Transactions on Industrial Informatics, 2020,16(7): 4403-4412. Xiaojun Wu, Bo Liu, Na Tang, Zhili Long. A Novel High Precise Laser 3D Profile Scanning Method with Flexible Calibration. Optics and Lasers in Engineering, 2020(132)105938. Long Zhili, Zhang Xiaobing, Li Cong, Niu Jin, Wu Xiaojun, Li Zuohua. Segmentation and classification of knee joint ultrasonic image via deep learning. Applied Soft Computing Journal, 2020, 97, 106765 Xiaojun Wu, Xingcan Tang. Accurate binocular stereo underwater measurement method, International Journal of Advanced Robotics Systems, 2019,1-13. Zhili Long, Xing Zhou, Xiaobing Zhang, Rui Wang, and Xiaojun Wu*. Recognition and Classification of Wire Bonding Joint via Image Feature and SVM Model. IEEE Transactions on Components, Packaging and Manufacturing Technology. VOL. 9, NO. 5, MAY 2019. 998-1006. Lingteng Qiu, Xiaojun Wu*, Zhiyang Yu. A High-Efficiency Fully Convolutional Networks for Pixel-Wise Surface Defect Detection, IEEE Access, VOL. 7, 2019, 15884-15893. Zhili Long , Jianguo Zhang, Xiaojun Wu, Yuecai Liu, et al. Impedance Modeling of Ultrasonic Transducers Used in Heavy Aluminum Wire Bonding. IEEE Transactions on Components, Packaging and Manufacturing Technology, VOL. 8, NO. 6, JUNE 2018, 1107-1115. Xiaojun Wu, Yumei Wu, Peizhi Wen. Concave omnidirectional imaging device for cylindrical object based on catadioptric panoramic imaging. Optical Engineering 57(3), 033109 (March 2018). Xiaojun Wu, Guangming Gao. LED light design method for high contrast and uniform illumination imaging in machine vision. Applied Optics, 2018, 57(7): 1694-1704. 吴晓军, 徐广毅. 基于三维模型几何信息的纹理图像压缩,计算机辅助设计与图形学学报, 2015,471-479。吴晓军，郭亚雪.一种圆柱物体360°全景成像装置设计方法,光学学报,2015, 35(9):0923002-1-11 Xiaojun Wu and YiXin Xu. A Robust Rigid Skeleton Extraction Method from Noisy Visual Hull Model, International Journal of Advanced Robotic Systems, April, 29, 2015.12:46,doi: 10.5772/59863. 吴晓军，范东凯. 一种鲁棒的基于半正定规划的相机自标定方法，电子学报，2014， 42(6): 1210-1215 温佩芝，宁如花，吴晓军. 一种自动的非封闭曲面三维重建方法.计算机集成制造系统，2013, 19(4): 680-686. 吴晓军，邹广华. 基于边缘几何特征的高性能模板匹配算法.仪器仪表学报, 2013,34(7): 1462-1669. Jia Chen, Xiaojun Wu*, Michael Yu Wang, et al.3D shape modeling using a self-developed hand-held 3D laser scanner and an efficient HT-ICP point cloud registration algorithm. Optics and Laser Technology,2013(45): 414-423. 吴晓军，文飞.多视图立体三维重建中的孔洞修复算法. 计算机辅助设计与图形学学报，2012 12(24): 1607-. 吴晓军, 李功清. 基于样本和线性结构信息的大范围图像修复算法，电子学报，2012 40(8):1509-1514. 陈加，吴晓军*. 基于LBS和Snake的三维人体外形和运动跟踪方法，计算机辅助设计与图形学学报，2012, 24(3):357-363,371. 陈加，吴晓军*，王煜. 基于蒙皮模型和WEOPA的人体外形和运动跟踪, 仪器仪表学报，2012 33(1):69-75. 黄廉真，吴晓军，康文雄.一种新的高速圆形匹配算法.哈尔滨工业大学学报, 2012 44(7): 87-91. Song Peng, Wu Xiaojun, Wang Michael Yu. Volumetric Stereo and Silhouette Fusion for Image-Based Modeling， The Visual Computer，2010.26(12): 1435-1450. 吴晓军，刘伟军. 异质材料CAD模型可视化算法,中国机械工程, 2010,17(21): 2095-2099. 徐健,吴晓军. 采用变形模型的图像序列Visual Hull计算方法, 计算机辅助设计与图形学学报, 2010, 22(4): 619-624,631 . 陈加，吴晓军，蔡荣，GPU并行加速的均值漂移算法，计算机辅助设计与图形学学报，2010，22(3):461-466. 张嘉易,包丽雅,马明旭,吴晓军.圆刃铣刀螺旋铣削的Z-map 高精度数值仿真. 计算机辅助设计与图形学学报, 2009, 21(10): 1420-1426,1432. 吴晓军,白世军,卢文涛. 基于H.264视频编码的运动估计算法优化. 电子学报，2009, (37)11:2541-2545. Xiao J.Wu, Michael Y.Wang, and Wei J. Liu. Heterogeneous object slicing with geometric contour constraint, Computer-Aided Design & Applications, June, 2009, 6(1), 137-145. Wu, Xiaojun, Michael Yu Wang, Weijun Liu. A CAD modeling system for heterogeneous object, Advances in Engineering Software, May 2008, 39(5): 444-453 Xiao J. Wu, Michael Y. Wang, and B. Han. An automatic hole-filling algorithm for polygon meshes, Computer-Aided Design & Applications, 2008, 5(6): 889-899. 温佩芝; 吴晓军; 吴成柯; 刘伟军; 自适应细分曲面算法及在快速成型数据处理中的应用, 计算机集成制造系统, Computer Integrated Manufacturing Systems, 2007,13(3): 608-613(620). Wu, Xiaojun; Wang, Michael Yu; Xia, Qi. Orthogonal least square RBF based implicit surface reconstruction methods. Lecture Notes in Computer Science，2006，232-241. Peizhi Wen, Xiaojun Wu, Chengke Wu. An Interactive Image Inpainting Method Based on RBF Networks. Lecture Notes in Computer Science 2006, 629-637 X. J. Wu, M. Y. Wang, and Q. Xia, 3D reconstruction methods based on radial basis functions for laser scanned data point sets, Computer-Aided Design & Applications, 3(1-4), 145-153, June 2006. Wu, Xiaojun; Liu, Weijun; Wang, Michael Yu.Feature Based Modeling of Heterogeneous Objects. Multidiscipline Modeling in Materials and Structures, Volume 1, Number 4, 2005, pp. 341-366(26) 吴晓军，刘伟军，王天然，温佩芝. 距离场定义下异质材料CAD信息建模方法，计算机辅助设计与图形学学报，2005,17(2):313-319. 吴晓军，刘伟军，王天然. 基于八叉树的三维网格模型体素化方法，中国工程图学学报，2005,4, 1-7. 吴晓军，刘伟军，王天然. 基于体素模型的CAD零件异质材料建模方法，机械工程学报， 2004, 40(5): pp111-117. 吴晓军，刘伟军，王天然. 温佩芝，改进的基于欧氏距离测度网格模型体素化算法，计算机辅助设计与图形学学报. 2004, 16(4): pp592-597. 吴晓军，刘伟军，王天然. 基于三维体素模型的FGM信息建模方法，计算机集成制造系统－CIMS，2004,10(3): pp270-275. 吴晓军，刘伟军，王天然. 可视化技术及在功能梯度材料设计中的应用，信息与控制，2002, 31(7): pp738-741. 刘伟军，齐越，吴晓军. 反求工程中的三维测量数据融合新方法，信息与控制，2002, 31(7): pp 742-744. 会议论文 Fangyi Ni; Xiaojun Wu; Jinghui Zhou; Zhichang Liu. Surface defect sample generation method based on GAN, Proc. SPIE 12342, Fourteenth International Conference on Digital Image Processing, 123421N (12 October 2022); doi: 10.1117/12.2644555. X. Wu and X. Wang, Stable Line and Circle Detection Method in Noise Image for Machine Vision, IEEE International Conference on Real-time Computing and Robotics (RCAR), 2021, pp. 1277-1282, doi: 10.1109/RCAR52367.2021.9517700. X. Wu and X. Zhang, A Method for Normal Mapping of Lightweight Mesh Model, Chinese Automation Congress (CAC), 2020, pp. 3718-3723 Lingteng Qiu, Xuanye Zhang,Yanran Li, Guanbin Li,Xiaojun Wu, et al. Peeking into Occluded Joints: A Novel Framework for Crowd Pose Estimation, ECCV, 2020. Xiaojun Wu, Dong Zhou, Peizhi Wen.A MVS Based Automatic 3D Model Reconstruction System from Turntable Image Sequence, Proceedings of the IEEE International Conference Information (ICIA), Ningbo, Zhejiang, China, 2016. Xing Zhou, Jinfan Niu, Xiaojun Wu, Chao Wang. Defect Segmentation of Ultrasonic Aluminum Bonding Joint Based on Region Growing and Level-Set. The 20th International Conference on Electronic Materials and Packaging (EMAP), 2018. Zhicheng Yang, Xiaojun Wu, Jinghui Zhou. Learning from synthetic data for automatic license plate detection and recognition, Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080624 (9 August 2018); doi: 10.1117/12.2503315 Rui Zhang, Xiaojun Wu, Lingteng Qiu, Zhicheng Yang, "OCR with a convolutional neural networks integration model in machine vision," Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062X (9 August 2018); doi: 10.1117/12.2503305 Chunchao Pang, Xiaojun Wu, Wei Lin, Yaohua Hu. B-spline based Motion Tracking of Cardiac Surface in Minimally Invasive Surgery. The 7th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems July 31-August 4, 2017, Hawaii, USA. Zhiyang Yu, Xiaojun Wu, and Xiaodong Gu. Fully Convolutional Networks for Surface Defect Inspection in Industrial Environment. 11th International Conference on Computer Vision Systems, M. Liu et al. (Eds.): ICVS 2017, LNCS 10528, 417–426, 2017. Xiaojun Wu, Kai Cao, and Xiaodong Gu. A Surface Defect Detection Based on Convolutional Neural Network. 11th International Conference on Computer Vision Systems, M. Liu et al. (Eds.): ICVS 2017, LNCS 10528, pp. 185–194, 2017. Xiaojun Wu, Huijiang Xiong, Zhiyang Yu, Peizhi Wen. A Surface Defect Detection Method Based on Multi-Feature Fusion. Proc. of SPIE Ninth International Conference on Digital Image Processing (ICDIP 2017), 104200S-1-6. Songsong Yi, Xiaojun Wu, Zhiyang Yu. A Cascade Method for TFT-LCD Defect Detection. Proc. of the SPIE Ninth International Conference on Digital Image Processing (ICDIP 2017), 04200T-1-6. Xiaojun Wu, Xiaohao Chen, and Jinghui Zhou. C-CNN: Cascaded Convolutional Neural Network for Small Deformable and Low Contrast Object Localization. Chinese Conference of Computer Vision. Part I, CCIS 771, pp. 14–24, 2017. Xiaojun Wu, Huijiang Xiong, Peizhi Wen. A Defect Detection Method based on Sub-image Statistical Feature for Texture Surface,ICDIP, Chendu, Sichuan, China, 2016. Gong Dafeng, Wu Xiaojun. Real-Time Visual Hull Computation Based on GPU, Proceedings of the IEEE Conference on Robotics and Biomimetics Zhuhai, China, December 6-9, 2015, 1792-1797. Wu Xiaojun, Xiao Shenghua and Wei Jingyang.High Accurate 3D Reconstruction Method Using Binocular Stereo Based on Multiple Constraints, Proceedings of the 2015 IEEE Conference on Robotics and Biomimetics Zhuhai, China, December 6-9, 2015, 934-939. Xiaojun Wu, Xingcan Tang. A Physical Based Underwater Imaging Model and Camera Calibration Method. Proceeding of the 2015 IEEE International Conference on Information and Automation, 3129-3134. Xiaojun Wu; Hongyu Zhong; Peizhi Wen. Texture mapping based digital rubbing method. 2015 IEEE International Conference on Mechatronics and Automation (ICMA),2015, 2-5 Aug. 2363-2368. Xiaojun Wu, Hongyu Zhong, Peizhi Wen. Digital Rubbings Creation based on Ink Diffusion, Proceedings of the IEEE International Conference Information and Automation, 2014.8，914-919. Xiaojun Wu, Xiangfeng Luo. An Accurate Hierarchical Binocular Stereo Approach to Reconstruct 3D Facial Model，The 11th World Congress on Intelligent Control and Automation. 2014.6, 5357-5362. Xiaojun Wu, Wenlue, Chen. A Scattered Point Set Hole-filling Method Based on Boundary Extension and Convergence，The 11th World Congress on Intelligent Control and Automation. 2014.6,5320-5325. Wu Xiaojun, Li Hongsheng. A Simple and Comprehensive Model for Underwater Image Restoration. Proceedings of the IEEE International Conference Information (ICIA), Yinchuan, China, 2013, 184-190. Gao Guangming, Wu Xiaojun. Light Optimal Design for Machine Vision Based on Reflection. Proceedings of the IEEE International Conference Information (ICIA), Yinchuan, China, 2013, 184-190. Xiaojun Wu，Zhigao Liu.Accurate Camera Calibration for hand-held camera in Multi-View Stereo Reconstruction. The 12th International Conference on Control, Automation, Robotics and Vision, 847-852. XiaojunWu, Jia Chen, Michael Yu Wang, Xuanfu Li.Hong-Tan based ICP Registration for Partially Overlapping Range Images. ACM SIGGRAPH VRCAI'2011. Dec. 11-12, 2011, HongKong, 301-306. Xiaojun Wu, Jia Chen, Michael Yu Wang, Xiongwei Wang. Shape Prior Based Foreground Segmentation with Local Rotation and Structural Changes. IEEE ICCA'11, Dec.19-21. Santiago, Chile. Jia Chen, Xiaojun Wu, Michael Yu Wang, Fuqing Deng. Human Body Shape and Motion Tracking by Hierarchical Weighted ICP, Proceedings of the 7th International Conference on Advances in visual computing, ISCV'11, 408-417.