·所在系(中心)：计算机科学与技术系 亓琳
·学历：博士 Qi Lin
·职称：副教授，硕士生导师
·政治面貌：中共党员
·邮件地址：qilin@ouc.edu.cn
·办公电话：0532-**
·办公室：山东省青岛市松岭路 238 号中国海洋大学(崂山校区)信息科学与工程学院南楼B311
·
课程介绍CourseIntroduction
本科生课程：
面向对象的程序设计（Object-oriented Programming）; 计算机图形学(Computer Graphics)；数理逻辑（MathematicalLogic）
研究生课程：
应用系统设计与开发（ApplicationSystem Development and Design）；图像处理与模式识别（Image Processing and PatternRecognition）；计算机专业英语（English for Computer Science）
教育经历：
2001/09－2005/06，中国海洋大学，信息科学与工程学院，计算机科学与技术系，计算机科学与技术专业，学士；
2005/09－2008/06，中国海洋大学，信息科学与工程学院，计算机科学与技术系，计算机应用技术专业，硕士；
2008/09－2012/06，英国 Heriot-Watt 大学，数学与计算机科学学院，计算机科学系，计算机科学专业，博士。
工作经历：
2012/08－2015/12，中国海洋大学，信息科学与工程学院，计算机科学与技术系，讲师；
2016/01－至今，中国海洋大学，信息科学与工程学院，计算机科学与技术系， 副教授。
学术兼职：
中国计算机协会会员、英国苏格兰信息与计算机科学协会会员
计算机视觉、视觉感知、三维重建、水下视觉、高级图形绘制技术、心理物理学、海洋智能数据分析。
Computer Vision, Visual Perception, 3D Reconstruction, UnderwaterVision, Advanced Graphics Techniques, Psychophysics, Marine Intelligent DataAnalysis。
研究项目ResearchProject
在研主要项目：
1.山东省自然科学基金重大基础研究项目“水下机器人增强现实人机交互技 术”项目，项目编号：2018B08， 执行期间：2019/01-2020/12，立项经费：120 万元，项目参与人。
2.科技开发与协作 “自助收款机动作识别系统”，项目编号：**，执行期间：2019/05-2019，立项经费：20 万元，项目负责人。
已完成主要项目：
1. 国家自然科学基金 青年科学基金项目，材质感知与识别及其在大洋矿物分类中的应用，项目批准号 **，主持，24.76 万元，2016年 1 月-2018 年 12 月
2.国家火炬计划，食品安全与质量检测公共服务平台建设项目，2015GH581533，子课题，14 万元，2015 年 12 月-2016 年 12 月
3.中国博士后科学基金资助项目，复杂光照下粗糙表面的光泽度感知建模，项目编号 2014M551963，主持，5 万元，2014年 5 月-2015 年 12 月
4.国际科技合作重点项目，计划水下高精度三维实时检测分析系统合作研发， 项目编号 2014DFA10410，主要参与人，总经费 378 万元，本人经费 50 万元，2014年 4 月-2018 年 3 月
5.山东省科技攻关项目，高分辨率海底小目标三维表面成像系统，项目编号2012GHY11524，主要参与人，总经费 25 万元，本人经费 9.2 万元，2012 年 1 月-2013 年 12 月
6.科技开发与协作，扑克牌智能识别系统，项目编号**，主要参与人，总经费 10 万元，本人经费 3万元，2013 年 1 月-2013 年12 月
7.青岛市博士后科研基金项目，类海底矿物表面光泽度的感知建模，主持，5 万元，2014 年 5 月-2015 年 12 月
8.
学术成果AcademicAchievements
科研经历与成就：
从事计算机视觉领域和海洋数据智能处理领域的研究，侧重基础理论方法在相关工业领域的应用。
教育教学成就：
通过学校教学评估。
论文：
1.Hongbao Zhu, Liang Lu, Lin Qi,Junyu Dong, An automatic laser sheet calibration method for laser scan rangemeasurement system, Tenth International Conference on Graphics and Image Processing(ICGIP 2018), 2019
2.Zhang, X., Dong, J., Gan, Y., Yu,H., & Qi, L. (2019). BTF data generation based on deep learning. ProcediaComputer Science, 233- 239.
3.Zhu, T., Qi, L., Fan, H., &Dong, J. (2019). Photometric Stereo on Large Flattened Surfaces Using ImageStitching. Procedia Computer Science,, 247-253.
4.Dong, X., Dong, J., Sun, G., Duan,Y., Qi, L., & Yu, H. (2019). Learning- Based Texture Synthesis andAutomatic Inpainting Using Support Vector Machines. IEEE Transactions onIndustrial Electronics, 66(6), 4777-4787.
5.Yuanhong Xu, Pei Dong, Liang Lu,Junyu Dong, Lin Qi, Combining depth-estimation-based multi-spectral photometricstereo and SLAM for real-time dense 3D reconstruction, 2018.
6.Fan, H., Qi, L., Dong, J., Lit, G.,& Yu, H. (2018). Dynamic 3D Surface Reconstruction Using a Hand-HeldCamera. conference of the industrial electronics society.
7.Liu, M., Dong, J., Dong, X., Yu,H., & Qi, L. (2018). Segmentation of Lung Nodule in CT Images Based on MaskR-CNN. ieee international conference on adaptive science technology.
8.Xuelong Wang, Jun Liu, Ying Gao,Junyu Dong, Xukun Qin, Lin Qi, Hui Ma, Surface defects detection of paper dishbased on Mask R-CNN, 2018.
9.Xiaohan Feng, Lin Qi, Yanhai Gan,Ying Gao, Hui Yu, Junyu Dong, Predicting and Generating Wallpaper Texture withSemantic Properties, 2018.
10. Qi,L., Xu, Y., Shang, X., Dong, J., 2018. Fusing Visual Saliency for MaterialRecognition, 2018 IEEE/CVF Conference on Computer Vision and PatternRecognition Workshops (CVPRW).
11. Ju,Y., Qi, L., Zhou, H., Dong, J., & Lu, L. (2018). Demultiplexing ColoredImages for Multispectral Photometric Stereo via Deep Neural Networks. IEEEAccess,, 30804-30818.
12. YakunJu, Lin Qi, Hao Fan, Liang Lu, Junyu Dong, Photometric stereo via randomsampling and tensor robust principal component analysis, 2018.
13. YijunChen, Lin Qi, Huyuan Sun, Hao Fan, Junyu Dong, Metal surface corrosion gradeestimation from single image, 2018.
14. PeiDong, Jie Li, Junyu Dong, Lin Qi, Multi-dimension feature fusion for actionrecognition, 2018.
15. Yuan,J. , Zhang, K. , Xia, Y. , Qi, L. , & Dong, J. . (2018). A fusion networkfor semantic segmentation using RGB-D data. International Conference on Graphic& Image Processing.
16. HuifangChi, Lin Qi, Yanhai Gan, Junyu Dong, Amanuel Hirpa Madessa, Semantic attributesbased texture generation, 2018.
17. YingGao, Junyu Dong, Jianwen Lou, Lin Qi, Jun Liu, Natural texture retrieval basedon perceptual similarity measurement, 2018.
18. Lu,L., Qi, L., Luo, Y., Jiao, H., & Dong, J. (2018). Three-DimensionalReconstruction from Single Image Base on Combination of CNN and Multi-SpectralPhotometric Stereo. Sensors, 18(3).
19. Zhao,A. , Qi, L. , Li, J. , Dong, J. , & Yu, H. . (2018). A hybrid spatio-temporal model for detection and severity rating of parkinson’s disease fromgait data. Neurocomputing, S****.
20. Liu,J. , Gan, Y. , Dong, J. , Qi, L. , Sun, X. , & Jian, M. , et al. (2018).Perception-driven procedural texture generation from examples. Neurocomputing, S****.
21. Zhao,A., Qi, L., Dong, J., & Yu, H. (2018). Dual channel LSTM basedmulti-feature extraction in gait for diagnosis of Neurodegenerative diseases.Knowledge Based Systems,, 91-97.
22.
23. Fan,Hao(#)，Qi, Lin(#)，Wang, Nan，Dong, Junyu(*)，Chen, Yijun， Yu, Hui，Deviationcorrection method for close-range photometric stereo with nonuniformillumination，OPTICAL ENGINEERING， 2017.10 ，56(10)
24. HaoFan(#)，Qi, Lin(#)，Yakun Ju，Junyu Dong(*)，Hui Yu， Refractive laser triangulationand photometric stereo in underwater environment，Optical Engineering，2017.11 ，56(11)
25. YakunJu(#)， Lin Qi，Hao Fan，Liang Lu，Junyu Dong(*)， Photometric Stereo via RandomSampling and Tensor Robust Principal Component Analysis，The 9th InternationalConference on Graphics and Image Processing，2017.10.14-2017.10.16
26. AiteZhao(#)， Lin Qi，Jie Li，Junyu Dong(*)，Hui Yu，LSTM for Diagnosis ofNeurodegenerative Diseases Using Gait Data，The 9th International Conference onGraphics and Image Processing， 2017.10.14-2017.10.16
27. HuifangChi(#)，Yanhai Gan， Lin Qi，Junyu Dong(*)，Amanuel Hirpa Madessa，Semantic Attributesbased Texture Generation，The 9th International Conference on Graphics and ImageProcessing， 2017.10.14-2017.10.16
28. XiaoweiShang(#)，Ying Xu， Lin Qi，Amanuel Hirpa Madessa， Junyu Dong(*)，An Evaluation ofConvolutional Neural Networks on MaterialRecognition，The 14th IEEE International Conference on Ubiquitous Intelligenceand Computing，2017.08.04-2017.08.08
29. JieLi(#)， Lin Qi，Aite Zhao，Xingnan Chen，Junyu Dong(*)， Dynamic Long Short-TermMemory Network for Skeleton-Based Gait Recognition，The 14th IEEE InternationalConference on Ubiquitous Intelligence and Computing，2017.08.04-2017.08.08
30. JianwenLou, Lin Qi, Junyu Dong, Hui Yu and Guoqiang Zhong. Learning perceptual texturesimilarity and relative attributes from computational features. 2016International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, 2016,pp. 2540-2546.
31. NanWang, Lin Qi, Junyu Dong, Hao Fan, Xingnan Chen, Hui Yu. Physically-basedTwo-stage Underwater Image Restoration. The 2016 8th International Conferenceon Graphic and Image Processing (ICGIP), 2016
32. XiaoweiZhou, Guoqiang Zhong, Lin Qi, Junyu Dong, Tuan D. Pham, Jianzhou Mao. SurfaceHeight Map Estimation from a Single Image Using Convolutional Neural Networks.The 2016 8th International Conference on Graphic and Image Processing (ICGIP), 2016.
33. HaoFan, Yisong Luo, Lin Qi, Nan Wang, Junyu Dong and Hui Yu. Robust PhotometricStereo in a scattering medium via Low-Rank Matrix Completion and Recovery. 9thInternational Conference on Human System Interactions (HSI), pp. 323-329,Portsmouth, 2016.
34. PanYang, Haoran Zhao, Lin Qi and Guoqiang Zhong. Self-taught recovery of depthdata. 2015 Asia-Pacific Signal and Information Processing Association AnnualSummit and Conference (APSIPA), pp. 1270-1275, Hong Kong, 2015
35. ShuZhang, Hui Yu, Junyu Dong, Ting Wang, Lin Qi and Honghai Liu. Combining Kinectand PnP for camera pose estimation. 8th International Conference on HumanSystem Interaction (HSI), pp. 357-361, Warsaw,2015.
36. XiaoxuCai, Jun Liu, Lin Qi*, Junyu Dong, Ying Gao, Hui Yu. Toward apsychophysical-based procedural texture generation system for interactivedesign. Proceedings of 8th International Conference on Human SystemInteractions (HSI), pp.373-378, 25-27 June 2015
37. LinQi*; Mike J. Chantler; J. Paul Siebert & Junyu Dong. The joint effect ofmesoscale and microscale roughness on perceived gloss. Vision Research, 115,Part B, pp. 209-217, 2015
38. JunLiu, Junyu Dong, Xiaoxu Cai, Lin Qi, Mike Chantler. Visual Perception ofProcedural Textures: Identifying Perceptual Dimensions and PredictingGeneration Models. PLoS ONE 10(6): e**,2015.
39. LinQi*, Mike Chantler, J. Paul Siebert, Junyu Dong. Why do rough surfaces appearglossy. Journal of Optical Society of America A (JOSA A), 31(5), pp. 935-943.(Virtual Journal for Biomedical Optics Vol.9, Issue 8.) 2014.
40. TingWang, Lin Qi*, Junyu Dong, Shu Zhang, Shengke Wang. Facial paralysis grading:are achromatic images sufficient? Perception, 43, ECVP Abstract Supplement,page 19, 2014.
41. XiaoxuCai, Jun Liu, Lin Qi, Junyu Dong*. Coefficient estimation for cellular texturegeneration based on visual perception. Perception, 43, ECVP AbstractSupplement, page 107, 2014.
42. YujuanSun, Junyu Dong, Gerald Mcgunnigle, Lin Qi, Muwei Jian, Reconstruction ofObject Shape and Albedo under Inconsistent Lighting Conditions. IEEEInternational Conference on Image Processing 2013.09.15-18, pp 1001-1005,Melbourne, 2013.
43. LinQi, Chao Yang, Jian Wu, Junyu Dong, Mike Chantler, Stefano Padilla, ZuojuanLiang. The Effect of Gloss on Perceived Roughness. 36th European Conference onVisual Perception. Perception, Vol. 42, 67. 2013.
44. JunyuDong, Ting Zhang, Lin Qi*, Peng Chen, Dong Wang. Cotton Grading: Can ImageFeatures Predict Human’s Visual Judgment? 36th European Conference on VisualPerception. Perception, Vol. 42, 221-221. 2013
45. YujuanSun, Junyu Dong, Lin Qi, Shuai Xin, Shengke Wang. Effective LIC ParameterSelection Based on Human Perception and Conditional Entropy. 36th EuropeanConference on Visual Perception. Perception, Vol. 42, 222-222. 2013.
46. JunLiu, Junyu Dong, Lin Qi, Mike Chantler. Identifying Perceptual Features ofProcedural Textures. 36th European Conference on Visual Perception. Perception,VOl. 42, 222-222. 2013
47. YuxinMeng, Junyu Dong, Yanhua Yin, Lin Qi*. Transparent Encryption Technique forWord Documents Based on USB Key in Manufacturing System. Applied Mechanics andMaterials, vol. 252, pp. 323-326. 2012
48. LinQi, Mike Chantler, J. Paul Siebert and Junyu Dong. How Mesoscale and MicroscaleRoughness Affect Perceived Gloss. Predicting Perceptions, The 3rd InternationalConference on Appearance. 2012.04.17-19, 48-51, Edinburgh, 2012
49. YujuanSun, Junyu Dong, Lin Qi and Mike Chantler. Automatic Cooking of Porridge Basedon Human Visual Perception. Predicting Perceptions, The 3rd InternationalConference on Appearance
50. PingJi, Junyu Dong, Lin Qi and Mike Chantler. Perceived Directionality ofRandom-phase Fractal Surfaces Based on Mojette
Transform. Predicting Perceptions, The 3rd International Conferenceon Appearance
51. LinQi, Mike Chantler, J. Paul Siebert, Junyu Dong. How Mesoscale and MicroscaleRoughness Affect Perceived Gloss. (AVA/BMVA Meeting. Perception. 2011.)Perception, Vol. 41, Issue 3, 375-375. 2012.
52. LinQi, Mike Chantler, J. Paul Siebert, Junyu Dong. The effect of Mesoscale SurfaceRoughness on Perceived Gloss. 2nd CIE Expert Symposium on Appearance - Whenappearance meets lighting..., 2010
53. PengJia, Junyu Dong, Lin Qi*, Florent Autrusseau. Directionality Measurement andIllumination Estimation of 3D Surface Textures by Using Mojette Transform.Proceedings of 2008 International Conference on Pattern Recognition, Vol. 1-6,1138-1141. Dec. 8-11, 2008.
54. JunyuDong, Yuanxu Duan, Guimei Sun, Lin Qi. Texture Synthesis through Support VectorMachines. Proceedings of 2008 International Conference on Pattern Recognition.Dec. 8-11, 2008.
55. LinQi, Junyu Dong, Yan Liu, Yuanxu Duan, Chunxia Zhang. Removing Color Stain onVehicle License Plates Based on Photometric Stereo and A Hole-FillingAlgorithm. 2008 International Congress on Image and Signal Processing (CISP2008).
56. LinQi, Linjie Zhang, Junyu Dong, Zhenwei Yu. Self-similarity Based Classificationof 3D Surface Textures. 2008 International Congress on Image and SignalProcessing (CISP2008), Vol. 3, 394-397. 2008.
57. LinQi, Zhenyu Yao, Li Li and Junyu Dong. Automatic Event Recognition and AnomalyDetection with Attribute Grammar by Learning Scene Semantics. Proceedings ofSPIE, MIPPR07, vol. 6786, pp67864Y. 2007.
58. LingSun, Junyu Dong, Lin Qi. Fabric Defect Detection based on Digital ImageProcessing Techniques, Modern Science Study, April 2006, pp646-648.
59. JunyuDong, Lin Qi and Jerry Wu. Three-dimensional Skin Surface Texture Editing Basedon Self-similarity, Proceedings of the First International Conference ofMedical Imaging and Telemedicine, 16- 19 August 2005, Wuyishan, China.pp230-234
60. JunyuDong, Lin Qi, Jing Ren and Mike Chantler. Self-similarity Based Editing of 3DSurface Textures. Proceedings of the 4th International Workshop on TextureAnalysis and Synthesis (Texture2005), 21 October 2005, Beijing, China. pp71-77
获授权专利/软件著作权：
1、国家发明专利：水下高精度三维重建装置及方法，**3822.7，
2018，授权；
2、国家发明专利：基于结构光技术和光度立体技术的水下三维重建装置及方法，
**9819.1，2018，授权。
3、若干软件著作权（略）
4、中国轻工业联合会科学技术进步奖，三等奖，3/6。
硕士研究生招生：
积极、主动、自信、善于交流。
欢迎你加入我们的研究团队，成为我科研工作上的同事。
毕业生/在读生情况介绍：
毕业生有前往英国普利茅斯大学攻读博士；进入知名企业技术岗位工作，如国家电网、中国人民银行、青岛银行等。
备注Remarks
更多信息可以参看个人主页： http://qilin512.github.io/ 和ResearchGate 主页：
https://www.researchgate.net/profile/Lin_Qi12
