个人简历

杨明强,1969年生, 副教授。1992年山东工业大学电子科学系获无线电技术学士学位,2000年山东大学信息科学与工程学院通信与信息工程学硕士学位,2008年法国INSA-RENNES(国立雷恩应用科学学院)信号与图像处理学博士学位。自19927月起,在山东工业大学大学工作,作为助理工程师从事计算机及其外围设备的维护及开发工作;作为实验师指导本科学生实验、撰写实验指导书;作为讲师、副教授为本科生和研究生开设了数门通信、信号处理方向主干课程,承担了国家、山东省及学校的多项科研课题,发表论文70余篇,其中SCI检索近20篇,EI检索50余篇,授权专利20余项。

招生意向:电子信息工程硕士研究生

研究方向:图像处理、模式识别及机器视觉


联系方式:yangmq#sdu.edu.cn  (替换#为@)


对外交流: 

2010.06-2010.08,访问法国国立雷恩应用科学院(INSA de RENNES),合作研究 

2012.01,短期访问法国图卢兹大学(Université de Toulouse 

2012.06-2012.08,访问法国国立雷恩应用科学院(INSA de RENNES),合作研究 

2014.09-2015.08,在加拿大University of Ottawa作访问学者 

2016.01-2016.03,在加拿大University of British Columbia作访问学者


邀请国外教授到山东大学访问: 

分别于2007.042009.062011.092012.092014.09邀请法国INSA de RENNES教授Joseph RONSIN先生访问,并为硕士、博士生授课。 

分别于2011.092012.09邀请法国INSA de RENNES教授Kidiyo KPALMA先生访问,并为硕士、博士生授课。 

201210月,邀请英国Strathclyde大学Stephen MARSHALL教授和Jinchang REN教授短访信息学院。 

20134月,邀请法国INSA de RENNES副校长Jean-François HELARD教授、Maryline HELARD教授短访信息学院。

20197-8月,邀请英国Strathclyde大学Jinchang REN教授访问信息学院,合作研究。


期刊审稿:

IEEE Transactions on Broadcasting, The Visual Computer, Journal of Pattern Recognition and Intelligent Systems, International Journal of Digital Content Technology and its Applications, Journal of Convergence Information Technology, International Journal of Advanced Computer Technology, 中国图像图形学报等国际及国内期刊审稿人。

 

社会服务:

2018第一批山东省企业科技特派员


讲授课程: 

本科课程:信号与系统,数字图像处理 

研究生课程:小波变换与工程应用

 

指导研究生: 

2009年开始指导硕士研究生,指导的全日制硕士研究生32人,已有25人毕业并获得硕士学位,其中有4人分别在荷兰、加拿大、法国攻读博士学位,5人考取了清华大学、中国科学院、山东大学博士研究生,2人在军队工作,其余同学在华为、浪潮、鲁能、万华等知名大公司或作为选调生在政府部门工作。另外指导在职专业硕士8人。


科研项目:

1. 主持国家自然科学基金,结合多分辨率分析的快速形变配准算法研究及其临床应用(No.30870666)2009.012011.12

2. 主持归国留学人员科研启动基金,基于形状特征仿射不变性算法的物体表面质量检测的研究, 2009.012011.12

3. 主持山东省中青年科学家奖励基金,产品外观检测系统中的关键问题研究(BS2010DX019) 20102012

4. 主持山东省自然科学基金,手势识别关键技术研究及其在智能电视中的应用产品外观检测系统中的关键问题研究 2014~2017

5. 主持山东省自然科学基金,产品外观检测系统中的关键问题研究 2011~2013

6. 主持西藏自治区项目,高寒区牛羊育肥及信息追溯系统关键技术研究 2020~2022

7. 主持企业项目,老人异常行为智能监测报警系统,2019~2022

8. 主持企业项目,液态岩棉流股检测系统,2017~2020

 

9. 参与国家自然科学基金,面向微表情识别的迁移度量学习方法

10. 参与国家自然科学基金,基于跨域异质度量迁移学习的心理应激微反应自动分析方法研究

11. 参与山东省自然科学基金,基于立体视觉的汽车辅助驾驶问题研究

12. 参与山东省自然科学基金,三维电视视频制作显示问题研究

13. 参与山东省自然科学基金,表情自动识别技术研究及其在心理检测中的辅助应用


发表论文

2021

1Wang Jiaxing, Yang Mingqiang, Ding Zhongjun, Zheng Qinghe, Wang Deqiang, KPALMA Kidiyo, Ren Jinchang, Detection of the Deep-Sea Plankton Community in Marine Ecosystem with Underwater Robotic Platform, Sensors 2021, Volume 21, Issue 20. SCI-3.735

2Zhang Zhongze, Xue Jianing, Zhang Jiong, Yang Mingqiang, Meng Bowen,Tan Yiran, Ren Shipu, A deep learning automatic classification method for clogging pervious pavement, Construction and Building Materials, 309 (2021) 125195 (SCI-6.141)

 

2020年

1、Zheng Qinghe; Yang Mingqiang*; Tian Xinyu; Wang Xiaochen; Wang Deqiang; Rethinking the role of activation functions in deep convolutional neural networks for image classification, Engineering Letters, 2020, 28(1): 80-92.    (EI)

2、Liu Yupeng; Yang Mingqiang*; Li Jie; Wang Deqiang; Dynamic hand gesture recognition using 2d convolutional neural network, Engineering Letters, 2020, 28(1): 243-254.    (EI)

3、Zheng Qinghe; Tian Xinyu; Yang Mingqiang*; Su Huake; CLMIP: Cross-Layer Manifold Invariance Based Pruning Method of Deep Convolutional Neural Network for Real-time Road Type Recognition,  Multidimensional Systems and Signal Processing, 17 July 2020  SCI-1.81

4、Peng Cheng, Yang Mingqiang*, Zheng Qinghe , Zhang Jiong,Wang Deqing , Yan Ruyu , Wang Jiaxing , Li Bangjun ,A triple-thresholds pavement crack detection method leveraging  random structured forest. Journal of Construction and Building Materials, v 263, 10 December 2020 (SCI-6.141)

5、Zheng Qinghe; Yang Mingqiang*; Tian Xinyu; Jiang Nan; Wang Deqiang; A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification, Discrete Dynamics in Nature and Society, 2020(1).    (SCI-0.87

6、Yan Yijun, Liu Yiguang, Yang Mingqiang, Zhao Huimin, Chai Yanmei, Ren Jinchang, Generic wavelet-based image decomposition and reconstruction framework for multi-modal data analysis in smart camera applications, IET COMPUTER VISION, 14.7 pp471-481 OCT 2020 SCI- 1.950

7、Lu Hua, Li Dengwang, Kpalma, K, Yang Mingqiang, Geometric Distance for Fast Micro-Expression Detection, 2020 IEEE 20th International Conference on Communication Technology (ICCT), pp1405-11

 

2019年

1、Zheng Qinghe; Tian Xinyu; Yang Mingqiang*; Wu Yulin; Su Huake; PAC-Bayesian framework based drop-path method for 2D discriminative convolutional network pruningIMG_256, Multidimensional Systems and Signal Processing, 2019, 10(1).    (SCI)

2、Zheng Qinghe; Tian Xinyu; Jiang Nan; Yang Mingqiang*; Layer-wise learning based stochastic gradient descent method for the optimization of deep convolutional neural networkIMG_257, Journal of Intelligent and Fuzzy Systems, 2019, 37(4): 5641-5654.    (SCI)

3、Zheng Qinghe; Tian Xinyu; Yang Mingqiang*; Wang Hongjun; Differential Learning A Powerful Tool for Interactive Content-Based Image Retrieval, Engineering Letters, 2019, 27(1): 202-215.    (EI)

4、Li Jie; Yang Mingqiang*; Liu Yupeng; Wang Yanyan; Zheng Qinghe; Wang Deqiang; Dynamic hand gesture recognition using multi-direction 3D convolutional neural, Engineering Letters, 2019, 27(3): 490-500.    (EI)

5、Zheng Qinghe; Tian Xinyu; Yang Mingqiang*; Su Huake; The email author identification system based on Support Vector Machine (SVM) and Analytic Hierarchy Process (AHP), IAENG International Journal of Computer Science, 2019, 46(2): 178-191.    (EI)

6、Cheng Qi; Yang Mingqiang*; Du Yi; Wang Deqiang; Double Decision Method for Static Gesture Based on Fully Convolutional Networks, 2nd China Symposium on Cognitive Computing and Hybrid Intelligence, Xian, 2019-9-202019-9-21.  

7、Zheng Qinghe, Yang Mingqiang*, Zhang Qingrui, Fine-grained image classification based on the combination of artificial features and deep convolutional activation features, International Conference on Communications in China, ICCC 2017 Vol.2018-Jan. EI

8、Zheng Qinghe, Yang Mingqiang*, Zhang Qingrui, An end-to-end image retrieval system based on gravitational field deep learning, International Conference on Computer Systems, ICCSEC 2017, 936-940 EI

9、Zheng Qinghe; Tian Xinyu; Yang Mingqiang*; Liu Shi; Near-infrared image enhancement method in IRFPA based on steerable Pyramid, Engineering Letters, 2019, 27(2): 352-364.    (EI)

 

2018年

1、Zheng Qinghe; Tian Xinyu; Liu Shilei; Yang Mingqiang*; Wang Hongjun; Yang Jiajie; Static hand gesture recognition based on Gaussian mixture model and partial differential equation, IAENG International Journal of Computer Science, 2018, 45(4): 569-583.    (EI)

2、Zhang Qingrui; Yang Mingqiang*; Kpalma Kidiyo; Zheng Qinghe; Zhang Xinxin; Segmentation of hand posture against complex backgrounds based on saliency and skin colour detection, IAENG International Journal of Computer Science, 2018, 45(3): 435-444.   (EI

3、Zheng Qinghe; Yang Mingqiang*; Zhang Qingtui; Yang Jiajie; A bilinear multi-scale convolutional neural network for fine-grained object classification, IAENG International Journal of Computer Science, 2018, 45(2): 340-352.    (EI)

4、Zheng Qinghe; Yang Mingqiang*; Yang Jiajie; Zhang Qingrui; Zhang Xinxin; Improvement of Generalization Ability of Deep CNN via Implicit Regularization in Two-stage Training Process, IEEE ACCESS, 2018, 6(1): 15844-15869.    (SCI-3.745)

5Ronsin, Joseph Lu, Hua Kpalma, KidiyoYang, Mingqiang. Facial Identification and Macro Expression Recognition with a New Textural Featuring Approach. 2018 INTERNATIONAL CONFERENCE ON HIGH TECHNOLOGY FOR SUSTAINABLE DEVELOPMENT (HITECH) 1-4. 10.1109/HiTech.2018.8566310.

 

2017年

1Zheng Qinghe, Yang Mingqiang*, Zhang Qingrui, Understanding and boosting of deep convolutional neural network based on sample distribution, Proceedings of the 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017, 2018-Jan. p823- 827

2Zhuang Huiwei; Yang Mingqiang*; Cui Zhenxing; A Method for Static Hand Gesture Recognition Base on Non-Negative Matrix Factorization and Compressive Sensing, IAENG International Journal of Computer Science, 2017, 44(1): 52-59.    (EI)

3Zhang Qingrui; Yang Mingqiang*; Zheng Qinghe; Zhang Xinxin; Segmentation of Hand Gesture Based on Dark Channel Prior in Projector-Camera System, 2017 IEEE/CIC International Conference on Communications in China, Qingdao, China, 2017-10-222017-10-24.    (EI)

4Zheng Qinghe, Yang Mingqiang, Zhang Qingrui, Zhang Xinxin and Yang.J., "An End-to-End Image Retrieval System Based on Gravitational Field Deep Learning," 2017 International Conference on Computer Systems, Electronics and Control (ICCSEC), Dalian, 2017, pp. 936-940, doi: 10.1109/ICCSEC.2017.8447006.

5、郑庆河, 杨明强, 蒋楠,. 无人机航空遥感图像的多分辨率拼接方法[J]. 西安邮电大学学报, 2017, 022(002):53-59.

6、Zhang Xinxin,Yang Mingqiang,Zhang Qingrui,Zheng Qinghe,Wang Feng, SUSAN edge detection based on HSI space

 

 

2016年

1、Zhuang Huiwei, Yang Mingqiang* Cui Zhenxing, Static Hand Gesture Recognition Using Combinational Features and Compressive Sensing, Lecture Notes in Engineering and Computer Science, 2016, v1, p 376-380. (EI)

2、Zeng Wei; Yang Mingqiang*; Wang Feng; Cui Zhenxing; Background Modeling Using Temporal-Local Sample Density Outlier Detection, 1st International Conference on Computer Vision and Image Processing (CVIP), Indian Inst Technol Roorkee, Roorkee, INDIA, 2016-2-262016-2-28.    

3、Ben Xianye, Zhang Peng, Yan Rui, Yang Mingqiang & Ge Guodong,  Gait recognition and micro-expression recognition based on maximum margin projection with tensor representation. Neural Computing and Applications 27, 2629–2646 (2016). https://doi.org/10.1007/s00521-015-2031-8SCI-2.505

4Ben Xianye ,Zhang Peng ,Meng Weixiao ,Yan Rui ,Yang, Mingqiang ,Liu, Wenhe. On the distance metric learning between cross-domain gaits. Neurocomputing (2016). 208. 10.1016/j.neucom.2016.01.098. SCI-3.317

5Lin Zhai, Shujun Fu, Zhang Caiming ; Liu Yunxian; Wang Lu; Liu Guohua; Yang Mingqiang. An efficient classification method based on principal component and sparse representation[J]. SpringerPlus, 2016.SCI-1.1

 

2015年

1、Zeng Wei, Yang Mingqiang*, Cui Zhenxing, An Improved Saliency Detection using Wavelet Transform, IEEE International Conference on Communication Software & Networks, 2015, p345-351

2、Cui Zhenxing, Yang Mingqiang*, Zeng Wei, Zhuang Huiwei, Static Hand Gesture Recognition Based on Neighborhood Rough Set, The International Conference on Fuzzy System and Data Mining, 2015, v281, p122-128.

3Wang Jinfeng, Fan Xiaoliang, Zhao Ailin, Yang Mingqiang. A Hybrid Bat Algorithm for Process Planning Problem. IFAC-PapersOnLine. 48. 1708-1713. 15th IFAC Symposium on Information Control Problems in Manufacturing 10.1016/ j.ifacol.2015.06.332.

4Zeng  Wei, Yang Mingqiang, and Cui Zhenxing . Ultra-Low Bit Rate Facial Coding Hybrid Model Based on Saliency Detection[J]. International Journal of Image and Graphics, 2015, 3(1).

 

2014年

1、Zabalza Jaime; Ren Jinchang*; Yang Mingqiang; Zhang Yi;Wang Jun ; Marshall Stephen; Han Junwei; Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensingIMG_258, ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 93: 112-122.    (SCI-7.319)

2、Lu Hua , Yang Mingqiang* , Ben Xianye, et al. Divided Local Binary Pattern (DLBP) Features Description Method For Facial Expression Recognition[J]. Journal of Information & Computational Science, 2014, 11(7):2425-2433. (EI)

3、Kpalma Kidiyo,  Yang Mingqiang , Belloulata Kamel. 2-D shapes description by using features based on the differential turning angle scalogram[J]. Journal of Pattern Recognition Research, 2014. (EI)

4、贲晛烨, 杨明强, 张鹏,等. 微表情自动识别综述[J]. 计算机辅助设计与图形学学报, 2014, 26(9):1385-1395.

 

2013年

1、郑全新,杨明强,李文辉,基于消失线的长方体表面透视变形校正方法,计算机工程,2013, Vol. 39(5): 261-265

2、Chen Da,  Yang Mingqiang,  Laurent D. Cohen. Global minimum for a variant Mumford–Shah model with application to medical image segmentation[J]. Computer Methods in Biomechanics & Biomedical Engineering Imaging & Visualization, 2013, 1(1):48-60.

 

2012年

1、Chen Da; Yang Mingqiang*; Graph cut based normalized coupled curve evolution model, Optical Engineering, 2012, 51(2): 027005-1-027005-9.    (SCI-0.958)

2、Sun Wenhong, Zhou Weidong*, Yang Mingqiang, Non-rigid registration of medical images with scale-space corner detection and thin-plate spline. BIOMEDICAL SIGNAL PROCESSING AND CONTROL Vol.7: 6 p.599-605 Nov 2012 (SCI-1.680)

3、Chen Lei, Yang Mingqiang*, Kpalma Kidiyo, Active Contours Driven by Global and Local Data Fitting Energy, JDCTA: International Journal of Digital Content Technology and its Applications, Vol. 6, No. 23, pp. 407 ~ 415, 2012

4、Zhang Lujun, Yang Mingqiang and Jiang Mingyan*, Mathematical modeling for convection-enhanced drug delivery, Procedia Engineering 2012 (EI)

5、Zhang Zaiai, Yang Mingqiang*, Chen Lei, Da Chen, Image Segmentation Based on Snake Models Using Improved. Journal of Computational Information Systems, Vol.8: 1 (2012) 1–8.

6、Chen Da; Li Dengwang; Yang Mingqiang*; Active Contour for Noisy Image Segmentation Based on Contourlet Transform, Journal of Electronic Imaging, 2012, 21(1): 013009-1-013009-9.    (SCI-0.884)

7、许鸿奎,江铭炎,杨明强,基于改进光流场模型的脑部多模医学图像配准,电子学报 2012 40 (3): 525-529 (国内核心期刊)

8、孙文红,周卫东,杨明强,基于非线性复扩散及全局和局部特性的医学图像角点检测[J].光电子激光,2012,(2):396~401(国内核心期刊)

 

2011年

1、Chen Da, Yang Mingqiang* and Zheng Quanxin,    Active contour based on different mathematic statistics,  Proceedings: IEEE 2011 13th conference on Communication technology

2、Li Wenhui, Yang Mingqiang*, NSCT-based Image Denoising Using 3D Directional Windows, Proceedings: IEEE 2011 13th conference on Communication technology

3、Chai Hua, Yang Mingqiang*, Object recognition using relative-chord context, International Conference on Consumer Electronics, Communications and Networks (CECNet), 2011

4、Kpalma Kidiyo*, Yang Mingqiang*, Polygon interior point query and applications, Proceedings: IEEE 2011 13th conference on Communication technology

5、Sun Wenhong*, Zhou Weidong* and Yang Mingqiang, Medical image registration using thin-plate spline for automatically detecting and matching of point sets, 5th International C­onference on Bioinformatics and Biomedical Engineering, 2011

6、Zhang Zheng and Yang Mingqiang*,     Area Function Fourier Descriptors Based on Contour Split. Proceedings: IEEE 2011 13th conference on Communication technology

7、Xu Hongkui, Jiang Mingyan* and Yang Mingqiang, An image registration method combing feature constraint with multilevel strategy, Applied Mechanics and Materials, v 58-60, p286-291, 2011, Information Technology for Manufacturing Systems II

8、Sun Wenhong, Zhou Weidong, Wan Honglin and Yang Mingqiang,Corner Detecting Based on Nonlinear Complex Diffusion Process,     5th International Conference on Bioinformatics and Biomedical Engineering, 2011

9、许鸿奎, 江铭炎, 杨明强, 基于多目标交叉变异粒子群算法的多模医学图像非刚性配准,中国生物医学工程学报, 30(2), 2011(国内核心期刊)

10、柴华, 杨明强,基于小波包和区域生长的脑组织图像分割,计算机工程与应用, 47(7), 2011

 

2010

1、Zhang Lujun, Jiang Mingyan and Yang Mingqiang, An Improved Local Distribution Fitting Model,     Proceedings: The 2th International conference on Image and signal processing, 2010. pp. 1322 – 1326

2、Xu Hongkui, Jiang Mingyan and Yang Mingqiang*, A new landmark selection method for non-rigid registration of medical brain images, International Conference on Signal Processing Proceedings, ICSP, p 920-923, 2010

3、Zhang Lujun, Jiang Mingyan and Yang Mingqiang*, Hippocampus Segmentation based on Prior knowledge and GAC model,   Proceedings: The 10th International conference on signal processing, 2010. pp. 1102 - 1105   

4、Li Mingyan, Jiang Mingyan and Yang Mingqiang,  Iris recognition based on a novel multiresolution analysis framework,    Proceedings: International Conference on Image Processing, 2010, pp. 4101 – 4104

5、Zhang Shunli, Han Min, Sun Weifeng, Yang Mingqiang. Iris feature extraction and recognition based on empirical mode decomposition. Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010, v 6, p 2633-2636

6、Li Mingyan, Jiang Mingyan, Yang Mingqiang, Non-rigid Image Registration based on Overlapped Block Check and Free-Form Deformation,       Proceedings: The 2th International Congress on Image and Signal Processing, 2010, pp. 2810 – 2814

7、孙业超, 韩民, 杨阳, 孙伟峰, 杨明强, 基于自适应重采样的雷达信号压缩算法,   计算机工程, 36(24), 2010

 

2008

1、Yang Mingqiang, Kpalma Kidiyo and Ronsin Joseph, Contour descriptor based on affine invariance normalization, Advances in Communication Systems and Electrical Engineering. February 2008. ISBN: 978-0-387-74937-2.  

2、Kpalma Kidiyo, Yang mingqiang and Ronsin Joseph, Planar shapes descriptors based on the turning angle scalogram, ICIAR 2008, LNCS 5112, pp. 547–556   

3、Yang mingqiang, Kpalma Kidiyo and Ronsin Joseph, Shape matching and object recognition using chord contexts, 12th International Conference Visualisation, 2008 pp.63-69 

 

2007

1、Yang mingqiang, Kpalma Kidiyo and Ronsin Joseph, Scale-controlled area difference shape descriptor, Proceedings- SPIE, International Society for Optical Engineering, 2007 P.650003 SCI

2、Yang mingqiang, Kpalma Kidiyo and Ronsin Joseph , Affine invariance contour descriptor based on iso-area normalization , IEE, Electronics Letters. Vol.43, Issue 7, 2007.3.29, pp:379 – 380 SCI -1.361)

3、Yang mingqiang, Kpalma Kidiyo and Ronsin Joseph ,Affine invariance contour descriptor based on the equal area normalization, Applied Mathematics, 2007 Vol.36:2, IJAM_36_2_5 SCI

4、Yang, Mingqiang, Kpalma Kidiyo, and Ronsin Joseph. "An affine invariance contour descriptor based on filtered enclosed area." iaeng international journal of applied mathematics (2007). IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II

5、Yang, Mingqiang, Kpalma Kidiyo, Ronsin Joseph. A Survey of Shape Feature Extraction Techniques[M]. InTech, 2007.

 

2006

1Li Li, Peng Yuhua, Yang Mingqiang, Xue Peijun. Image De-noising Based on Nonparametric Adaptive Estimation in the Finite Ridgelet Domain[C]// International Conference on Communications. IEEE, 2006.

 

 

授权专利

一种基于二维卷积网络的动态手势识别方法及系统  

发明人:杨明强、刘玉鹏、王德强、李杰、程琦

专利授权号:201910079917.8

授权时间:2021.08.31

 

基于神经网络的手势识别方法及系统  

发明人:杨明强、程琦、贲晛烨、李杰、刘玉鹏

专利授权号:201910011511.6

授权时间:2021.02.05

 

基于多模态3D卷积神经网络的动态手势识别方法及系统   

发明人:杨明强、李杰、王德强、刘玉鹏、程琦

专利授权号:201910080484.8

授权时间:2020.11.06

 

透水路面堵塞检测方法及系统

发明人:张炯、杨明强、胡念、夏霜、韩若楠、崔新壮、张齐鲁

专利授权号:201815172299.2

授权时间:2020.11.06

 

一种基于差分切片能量图和稀疏编码的微表情识别方法

发明人:贲晛烨、张鹏、杨明强、李传烨、庞建华、王建超

专利授权号:201610473851.7

授权时间:2020.01.14

 

一种基于计算机视觉的四足机器人本体位姿跟踪方法    

发明人:杨明强、郑庆河、王晓辰、张庆锐

专利授权号:201610979615.2

授权时间:2019.06.28

 

一种深度融合显著性检测与先验知识的手部区域分割方法  

发明人:杨明强、张庆锐、郑庆河、张鑫鑫

专利授权号:201610937434.3

授权时间:2019.05.07

 

一种基于区域匹配的快速电子稳像方法    

发明人:杨明强、郑庆河、张庆锐

专利授权号:201610885104.0

授权时间:2019.04.16

 

一种基于视觉的静态手势识别方法      

发明人:杨明强、庄会伟、贲晛烨

专利授权号:201610079098.3

授权时间:2019.03.22

 

一种单目实时目标识别及位姿测量方法    

发明人:杨明强、崔振兴、曾威、陆中州

专利授权号:201410676615.6

授权时间:2018.07.31

 

一种热能交换中等效耗能的计算方法  

发明人:杨明强

专利授权号:20140482702.8

授权时间:2018.07.24

 

一种基于样本局部密度离群点检测的背景建模方法  

发明人:杨明强、曾威、崔振兴

专利授权号:201510796632.8

授权时间:2018.05.01

 

基于特征建模的极低码率下人脸视频编解码方法      

发明人:杨明强、曾威、崔振兴

专利授权号:201510043125.7

授权时间:2018.01.26

 

高速公路汽车防连撞预警装置

发明人:杨明强、刘玉鹏、李杰

专利授权号:201720189974.8

授权时间:2017.09.08

 

一种有效的微表情自动识别方法

发明人:贲晛烨、张鹏、杨明强、付希凯、李娟、刘天娇

专利授权号:201310384143.2

授权时间:2016.05.11

 

一种改进的SURF快速匹配方法

发明人:杨明强、韩峰、贲晛烨

专利授权号:201310400003.X

授权时间:2016.03.02 

 

一种奇、偶分组的局部二元模式的人脸表情识别方法

发明人:贲晛烨、陆华、杨明强、张子瑾、曾威、张鹏、孟凡松

授权专利号:201310086362.2

授权时间:2015.12.23

 

基于消失线的长方体表面透视变形的矫正方法

发明人:杨明强、郑全新、李文辉

专利授权号:ZL 201110395973.6

授权时间:2014.10.22

 

基于归一化耦合曲线演化模型的图割方法

发明人:杨明强、陈雷、陈达

专利授权号:201110445314.9

授权时间:2013.10.23

 

基于NSCT系数的3D方向窗图像去噪方法

发明人:杨明强、李文辉

专利授权号:ZL201110067599.7

授权时间:2013.03.06

 

电子导游系统

发明人:杨明强、郭磊、陈雷

授权专利号:201220265195.9

授权时间:2012.12.19

 

基于非下采样轮廓波的边缘检测方法

发明人:杨明强、陈达

专利授权号:ZL201110022134.X

授权时间:2012.07.04

 

相对弦长关联统计形状特征提取方法

发明人:杨明强、柴华

专利授权号:200910230276.8

授权时间:2012.01.04


自动取款机智能防护监控装置

发明人:戴永令,杨明强

专利授权号:CN2773802Y

授权时间: 2006.04.19 


 联系方式:yangmq#sdu.edu.cn  (替换#@)



杨明强

副教授 硕士生导师

性别:男

毕业院校: INSA de RENNES 法国(雷恩)国立应用科学院

学历: 研究生(博士)毕业

学位: 博士

在职信息: 在职

所在单位: 信息科学与工程学院

入职时间: 1992-07-01

学科:信号与信息处理

办公地点: 山东大学青岛校区

曾获荣誉:

2017    2017年山东大学教学成果优秀奖

2019    2019年山东大学优秀教研论文三等奖

2019    第六届全国电工电子教学案例设计竞赛三等奖

2019    山东省2019年度优秀硕士学位论文指导教师

邮编 : 266237

通讯/办公地址 : 山东省青岛市即墨滨海路72号

邮箱 : yangmq@sdu.edu.cn

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