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yandong

田建东 博士 研究员

机器人视觉研究组

 机器人学国家重点实验室
 中科院沈阳自动化研究所
 
沈阳市南塔街114号
 邮编:110016

办公室:R402
 电话:024-23970491
 传真:024-23970021
 Email: tianjd@sia.cn





田建东
博士,研究员,硕士生导师

研究领域成像技术,光照建模与处理,机器人视觉.


 



















个人简历


2005年于黑龙江大学获得学士学位,2005-2011年在中科院沈阳自动化所硕博连读,于2011年获得工学博士学位,随后留所参加工作,2105年作为访问学者在美国University of California, San Diego(UCSD)从事研究工作一年。现为机器人学国家重点实验室研究员,IEEE senior member,中国光学工程学会委员,国家自然科学基金 (NSFC)共融机器人重大研究计划评审专家,中国科学院青年创新促进会会员,辽宁省“百千万人才工程”,沈阳市高层次人才, CVPR 2018, SIGGRAPH 2018等多个国际会议的PC member。研究成果先后获辽宁省自然科学学术成果奖一等奖两次,以及辽宁省科技进步二等奖。


主要工作

主要从事图像处理、模式识别、以及机器人视觉方面的研究,尤其关注在复杂光照与恶劣天气下的视觉稳定性以及图像预处理问题。作为负责人先后主持了国家自然科学基金青年、面上、重大研究计划 (培育) 等国家项目,以及中科院青促会基金、辽宁省科学技术基金、新松机器人技术服务等省部级或企业项目。作为子课题负责人或主要承担者先后参加了国家自然科学基金重点项目、科技部 863重点项目、0901国家重大科技专项等。在国内外知名期刊及学术会议上发表论文30余篇,其中SCI收录论文20篇,IEEE CVPR和IEEE ICCV论文4 篇,受邀撰写Springer-Verlag出版的学术专著中的一章。












 



















论文发表

1) Jiandong Tian, Zak Murez, Tong Cui, Zhen Zhang, David Kriegman, Ravi Ramamoorthi,"Depth and Image Restoration from Light Field in a Scattering Medium", International Conference on Computer Vision (ICCV) 2017

2) Jiandong Tian, Zhi Han, Weihong Ren, Xiai Chen, Yandong Tang, "Snowflake removal for videos via global and local low-rank decomposition", IEEE Transactions on Multimedia (online published)

3) Jiandong Tian, Liangqiong Qu, Huijie Fan, Wentao Li, Yandong Tang,"Evaluation of shadow features", IET Computer Vision (accepted)

4)Weihong Ren, Jiandong Tian*, Zhi Han, Yandong Tang,"Video Desnowing and Deraining Based on Matrix Decomposition", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017

5) Liangqiong Qu, Jiandong Tian*, Shengfeng He, Yandong Tang, Rynson Lau, "DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (spotlight oral paper)

6) Weihong Ren, Jiandong Tian*, Yandong Tang,"Specular Reflection Separation with Color-Lines Constraint", IEEE Transactions on Image Processing, Volume: 26, Issue: 5, 2017, Pages: 2327 - 2337

7) Liangqiong Qu, Shengfeng He, Jiawei Zhang, Jiandong Tian, Yandong Tang, and Qingxiong Yang, "RGBD Salient Object Detection via Deep Fusion", IEEE Transactions on Image Processing, Volume: 26, Issue: 5, 2017, Pages: 2274 - 2285

8)Zhi Han, Jiandong Tian, Liangqiong Qu, and Yandong Tang, "A New Intrinsic-Lighting Color Space for Daytime Outdoor Images", IEEE Transactions on Image Processing, Volume 26 Issue 2, 1031- 1039, 2017

9) Tong Cui, Jiandong Tian, Yandong Tang, "Single Image Dehazing by Latent Region-Segmentation Based Transmission Estimation and Weighted L1-norm Regularization", IET Image Processing, Volume 11, Issue 2, 2017, p. 145 – 154.

10) Jiandong Tian, Zhigang Duan, Weihong Ren, Zhi Han, Yandong Tang, "Simple and Effective Calculations about Spectral Power Distributions of Outdoor Light Sources for Computer Vision", Optics Express, Vol. 24, Issue 7, pp. 7266-7286, 2016

11)Weihong Ren, Jiandong Tian,Yandong Tang, "Blind Deconvolution with Non-local Similarity and l0 Sparsity for Noisy Image", IEEE SIGNAL PROCESSING LETTERS, VOL. 23, NO. 4, APRIL, 2016

12) Jiandong Tian, Xiaojun Qi, Liangqiong Qu, and Yandong Tang, "New Spectrum Ratio Properties and Features for Shadow Detection", Pattern Recognition, Volume 51, No. 3, 2016, Pages 85–96

13) Liangqiong Qu, Jiandong Tian, Zhi Han, and Yandong Tang, "Pixel-wise Orthogonal Decomposition for Color Illumination Invariant and Shadow-free Image", Optics Express,Vol.23, No.3,2015


14) Denglu Wu, Jiandong Tian, Yandong Tang; "Optimized basis function for spectral reflectance recovery from tristimulus values", OPTICAL REVIEW, Vol. 21, No. 2 (2014) 117–126

15) Jiandong Tian,Yandong Tang, "Wavelength-sensitive-function controlled reflectance reconstruction", Optics Letters, Vol. 38, Iss. 15, pp. 2818–2820, 2013

16) Denglu Wu,Jiandong Tian,Bingfeng Li, Yandong Tang,"Recovering Sensor Spectral Sensitivity from Raw Data", Journal of Electronic Imaging Vol. 22(2), 2013

17)
Jiandong  Tian,  Linlin  Zhu, Yandong  Tang; "Outdoor shadow detection by combining tricolor attenuation and intensity", EURASIP Journal on Advances in Signal Processing 2012, 2012:116


18)Jiandong Tian, Yandong Tang; “Linearity of each channel pixel values from a surface in and out of shadows and its applications”, IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR 2011).

19)
Jiandong Tian, Jing Sun, Yandong Tang,“Short-BaselineBinocular Vision System for a Humanoid Ping-Pong Robot”, Journal of Intelligent and Robotic Systems, 64(3-4): 543-560, 2011


20)
Jiandong Tian, Yandong Tang; Book chapter:“Learning and vision based obstacle avoidance and navigation”, Book: Robot Intelligence: An Advanced Knowledge Processing Approach, Springer-Verlag, 2010


21) Jiandong Tian, Jing Sun, Yandong Tang,“Tricolor Attenuation Model for Shadow Detection”,IEEE Transactions on Image Processing, Vol. 18, No. 10, pp: 2355-2363, 2009

22) Jiandong Tian,Wei Dong,Yandong Tang,“Finding passable regions from a single still image”, International Journal of Robotics and Automation,Vol. 24, No. 3, pp: 228-234,2009.

23) Jing Sun, Jiandong Tian, Yingkui, Du, Yandong Tang;"Retinex Theory Based Shadow Detection and Removal in Single Outdoor Image"; Industrial Robot: An International Journal,36/3 (2009) 263–269.

24) 田建东,王占鹏,唐延东, “静态阴影检测的研究进展”, 信息与控制, 2015年 第44卷 第2期

25) 田建东,唐延东,基于几何特征的快速高精度角点检测算法,仪器仪表学报,30(2):287- 292,2009.

26)朱琳琳,田建东,韩建达;“基于阴影图像本征值的室外目标跟踪”, 信息与控制,2014年 第43卷 第5期:604-611.
























研究项目

1) 面向复杂光照与气象条件的共融机器人多模感知系统

经费来源:国家自然科学基金;2017-2020;项目主持人

2) 计算机视觉中自然光照建模及其恒常性计算

经费来源:国家自然科学基金;2015-2018;项目主持人。


3) 室外静态阴影的物理成像特性分析及去除方法研究


经费来源:国家自然科学基金;2012-2014;项目主持人。

4)高速精密制造生产线的视觉检测技术研究

(子课题:高速目标自动识别与跟踪)
经费来源:国家自然科学基金;2009-2012; 主要参加者。

5)其他工程预研项目



学生培养


协助培养博士研究生5名,硕士研究生4名