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专业: 博士招生:电力系统及其自动化 硕士招生:检测技术与自动化装置 教育经历: [03]2005.8-2010.8,美国肯塔基大学电气工程系,博士 [02]1998.9-2001.6,四川大学计算机学院,硕士 [01]1992.9-1996.6,四川大学计算机科学系,学士 工作经历: [04]2011.11-至今,四川大学电气信息学院,教授 [03]2010.9-2011.7,美国特拉华大学电气工程系,博士后 [02]2001.7-2005.7,四川大学计算机学院,讲师 [01]1996.7-1998.8,江苏商业银行无锡分行,计算机系统管理员 科研项目: [10]企业横向,电力巡线算法开发,已结题,主持 [09]校地合作,面向压力容器及管道形变腐蚀检测的高精度结构光三维成像研究,在研,主持 [08]成都市科技局重点研发支撑计划,面向高端制造中产品外观全检的低成本高速结构光三维成像研究,在研,主持 [07]企业横向,廉价实时高精度多帧结构光三维人脸成像研究,在研,主持 [06]四川省重点研发项目,面向高反光航空发动机叶片的高精度结构光三维成像研究,在研,主持 [05]企业横向,一种图像采集系统专利的实施许可,在研,主持 [04]国家自然科学基金面上项目,面向光照饱和溢出和多路径效应问题的高精度结构光三维成像研究,已结题,主持 [03]国家自然科学基金中韩合作交流项目,红外图像超分辨率技术研究,已结题,参与 [02]四川省科技支撑计划,实时双视非接触式三维指纹扫描技术中关键问题的研究,已结题,主持 [01]四川大学引进人才科研启动,先进的实时非接触式多层次生物识别信息获取系统,已结题,主持 EI学术会议: Conference Publications [09]J. Song, Y-S. Ho, D. L. Lau, K. Liu*, Universal phase unwrapping for phase measuring profilometry using geometric analysis, 2018 SPIE Photonics West OPTO, San Francisco, USA, 2018.1.27-2.1 [08]Y. Long, S. Wang, W. Wu, X. Yang, G. Jeon, K. Liu*, Binary coding strategy for Fourier transform profilometry, 2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP 2015), Chengdu, China, 2015.7.12-7.15 [07]Y. Long, S. Wang, W. Wu, X. Yang, G. Jeon, K. Liu*, Hybrid coding strategy for SNR improvement in 3-step phase measuring profilometry, 2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP 2015), Chengdu, China, 2015.7.12-7.15 [06]J. Zhao, Y. Wang, K. Liu*, Study on phase error for partial intensity saturation in phase measuring profilometry, 2013 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP 2013), Beijing, China, 2013.7.6-7.10 [05]X. Xu, Y. Wang, K. Liu*, Error reduction for the high-contrast regions in phase measuring profilometry, 2013 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP 2013), Beijing, China, 2013.7.6-7.10 [04]Y. Zhou*, K. Liu, K. E. Barner, Non-rigid 3D shape recognition via dictionary learning, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), Vancouver, Canada, 2013.5.26-5.31 [03]Y. Zhou*, K. Liu, J. Gao, K. E. Barner, F. Kiamilev, High-speed structured light scanning system and 3D gestural point cloud recognition, 2013 47th Annual Conference on Information Sciences and Systems (CISS 2013), Baltimore, USA, 2013.3.20-3.22 [02]K. Liu, Y. Wang*, Phase channel multiplexing pattern strategy for active stereo vision, 2012 International Conference on 3D Imaging (IC3D 2012), Liège, Belgium, 2012.12.3-12.5 [01]Y. Wang*, K. Liu, Q. Hao, D. L. Lau, L. G. Hassebrook Multicamera phase measuring profilometry for accurate depth measurement, 2007 SPIE Defense & Security Symposium, Orlando, USA, 2007.4.10-4.12 授权发明专利: Patents [21]刘凯,卢勇,一种硬件智能化的结构光三维扫描系统及方法,2016102559847,四川大学 [20]刘凯,化文奇,郑宏博,胡子阳,许斌,高反光对象表面的结构光三维成像方法及系统,2018107390374,四川大学 [19]刘凯,贾梦瑶,邹伟,边海栋,单线结构光解码方法及系统,2016109730297,四川大学 [18]刘凯,夏苗,吴炜,杨晓敏,凸包获取方法及装置,2016107364120,四川大学 [17]刘凯,田懿,郑舟恒,杨晓梅,许斌,一种基于线性投影的监控视频鲁棒背景建模方法及装置,2016105075677,四川大学 [16]刘凯,龙云飞,胡子阳,许斌,一种基于彩色正弦结构光编码的实时三维测量方法,2014102207054,四川大学 [15]刘凯,郑宏博,龙云飞,余祥,一种三维视觉重建方法,2016100687766,四川大学 [14]刘凯,宋健文,王江,刘怡光,基于一维信息的专用投影机及其投影方法,2016101865737,四川大学 [13]刘凯,龙云飞,刘怡光,吴炜,杨晓敏,郑晓军,用二进制编码策略实现傅里叶变换轮廓术的方法,2014105542980,四川大学 [12]刘凯,龙云飞,吴炜,杨晓敏,许斌,利用谐波幅值判定饱和的高动态三维测量方法,2015101430938,四川大学 [11]刘凯,龙云飞,吴炜,杨晓敏,许斌,基于二值相移图案的三维测量方法,2015103013629,四川大学 [10]刘凯,龙云飞,郑晓军,吴炜,杨晓敏,用相位计算实现线结构光三维测量的方法,2014103587436,四川大学 [09]刘凯,龙云飞,一种用于线结构光三维测量的解码方法,2014103297880,四川大学 [08]刘凯,王江,边海栋,郑晓军,吴炜,杨晓敏,一种基于最优四边形的快速指纹匹配方法,2014105005980,四川大学 [07]刘凯,罗雪玲,郑晓军,吴炜,杨晓敏,利用结构光技术实现的实时激光点追踪人机交互系统,2014103547250,四川大学 [06]刘凯,龙云飞,郑晓军,吴炜,杨晓敏,结合几何标定的相位测量轮廓术系统非线性校正方法,2014104597721,四川大学 [05]刘凯,孙伟文,杨洋,郑晓军,吴炜,杨晓敏,一种减少相位测量轮廓术中多路径效应影响的方法,2014105077156,四川大学 [04]刘凯,孙伟文,李娜,利用相位融合算法修复饱和产生的相位误差的方法,2014103170076,四川大学 [03]刘凯,龙云飞,郑晓军,吴炜,杨晓敏,运用时间序列结构光技术实现投影显示几何校正的方法,2014104422110,四川大学 [02]刘凯,许晓畅,一种降低摄像机多路径效应影响的相位融合方法,2014100866589,四川大学 [01]K. Liu, Y. Wang, D. L. Lau, L. G. Hassebrook, Dual-frequency Phase Multiplexing (DFPM) and Period Coded Phase Measuring (PCPM) pattern strategies in 3-D structured light systems, and Lookup Table (LUT) based real-time data processing for phase measuring pattern strategies, US 8,947,677 B2, Feb. 3, 2015, University of Kentucky, USA 授权实用新型专利: [08]刘凯,张翰,三维重建系统,2017205198681,四川大学 [07]刘凯,程冠鸿,王江,赵涛,一种图像采集系统,2016210413556,四川大学 [06]刘凯,卢勇,一种无线结构光三维成像系统,2016203434401,四川大学 [05]刘凯,王江,基于一维信息的高效专用投影机,2016202519652,四川大学 [04]刘凯,王前慧,余祥,基于相位轮廓术的相位和反射率的人脸识别装置,201620144142X,四川大学 [03]郑秀娟,敬雪平,刘凯,三维成像装置以及三维成像移动终端,201621313399X,四川大学 [02]吴炜,杨晓敏,刘凯,李红,陶福煜,一种基于红外光和可见光的探测装置,201520598356X,四川大学 [01]吴炜,杨晓敏,刘凯,陶福煜,李红,一种基于红外光和可见光的车辆调光装置,2015205980627,四川大学 人才培养 [06]硕士研究生已毕业并获得学位30人,在读20人;博士研究生在读1人 [05]四川省科技创新苗子工程培育项目1项 [04]四川大学学术之星1人 [03]省级优秀毕业生2人 [02]获得国家奖学金8人 [01]四川大学一等奖学金7人

研究领域

结构光三维成像及应用、机器视觉、数字图像/信号处理

近期论文

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SCI学术期刊: Journal Publications [40]Y. Yu, D. L. Lau*, M. Ruffner, K. Liu, Dual-projector structured light 3D shape measurement, Accepted by Applied Optics, 2020, X(X): X-X [39]X. Yang, J. Zhang, Y. Liu, X. Zheng*, K. Liu, Super-resolution image reconstruction via fractional-order total variation and adaptive regularization parameters, The Visual Computer, 2019, 35(12): 1755-1768 [38]K. Liu, J. Song, D. L. Lau, X. Zheng, C. Zhu, and X. Yang*, Reconstructing 3D point clouds in real time with look-up tables for structured light scanning along both horizontal and vertical directions, Optics Letters, 2019, 44(24): 6029-6032 [37]M. Jia, X. Yang, and K. Liu*, Automatically detecting rigidly and non-rigidly deformed facial landmarks from coarseness to fineness, Journal of Electronic Imaging, 2019, 28(6): 063009 [36]S. Wu, W. Wu, X. Yang*, L. Lu*, K. Liu, and G. Jeon, Multifocus image fusion using random forest and hidden Markov model, Soft Computing, 2019, 23(19): 9385-9396 [35]J. Song, D. L. Lau, Y.-S. Ho, K. Liu*, Automatic look-up table based real-time phase unwrapping for phase measuring profilometry and optimal reference frequency selection, Optics Express, 2019, 27(9): 13357-13371 [34]X. Yang, W. Xu, R. Luo, X. Zheng*, K. Liu, Robustly reconstructing magnetic resonance images via structure decomposition, Magnetic Resonance Imaging, 2019, 57(4): 165-175 [33]X. Yang, L. Jian, W. Wu, K. Liu, B. Yan, Z. Zhou, and J. Peng*, Implementing real-time RCF-Retinex image enhancement method using CUDA, Journal of Real-Time Image Processing, 2019, 16(1): 115-125 [32]Y. Yuan, X. Yang, W. Wu*, H. Li, Y. Liu, and K. Liu, A fast single-image super-resolution method implemented with CUDA, Journal of Real-Time Image Processing, 2019, 16(1): 81-97 [31]X. Yang, L. Jian, B. Yan, K. Liu, L. Zhang, and Y. Liu*, A sparse representation based pansharpening method, Future Generation Computer Systems, 2018, 88(11): 385-399 [30]L. Jian, X. Yang*, Z. Zhou, K. Zhou, and K. Liu, Multi-scale image fusion through rolling guidance filter, Future Generation Computer Systems, 2018, 83(6): 310-325 [29]F. Tao, X. Yang*, W. Wu, K. Liu, Z. Zhou, Y. Liu, Retinex-based image enhancement framework by using region covariance filter, Soft Computing, 2018, 22(5): 1399-1420 [28]X. Yang, W. Wu*, K. Liu, W. Chen, Z. Zhou, Multiple dictionary pairs learning and sparse representation-based infrared image super-resolution with improved fuzzy clustering, Soft Computing, 2018, 22(5): 1385-1398 [27]W. Wu, X. Yang*, H. Li, K. Liu, L. Jian, Z. Zhou, A novel scheme for infrared image enhancement by using weighted least squares filter and fuzzy plateau histogram equalization, Multimedia Tools and Applications, 2017, 76(23): 24789-24817 [26]X. Yang, W. Wu*, K. Liu, W. Chen, P. Zhang, Z. Zhou, Multi-sensor image super-resolution with fuzzy cluster by using multi-scale and multi-view sparse coding for infrared image, Multimedia Tools and Applications, 2017, 76(23): 24871-24902 [25]G. Cheng, K.Liu, T. Zhao*, Filtering of interval type-2 fuzzy time-delay systems under a unified frame, Journal of Intelligent & Fuzzy Systems, 2017, 33(2): 1027-1039 [24]X. Yang, Y. Luo, S. Chen, X. Zhen, Q. Yu, K. Liu*, Dynamic MRI reconstruction from highly undersampled (k, t)-space data using weighted Schatten p-norm regularizer of tensor, Magnetic Resonance Imaging, 2017, 37(4): 260-272 [23]H. Bian, K. Liu*, Robustly decoding multiple-line-structured light in temporal Fourier domain for fast and accurate three-dimensional reconstruction, Optical Engineering, 2016, 55(9): 093110 [22]H. Li, W. Wu*, X. Yang, B. Yan, K. Liu, G. Jeon, Multispectral image enhancement based on Retinex by using structure extraction, In Chinese, Acta Physica Sinica, 2016, 65(16): 160701 [21]Y. Song, W. Wu*, Z. Liu, X. Yang, K. Liu, W. Lu, An adaptive pansharpening method by using weighted least squares filter, IEEE Geoscience and Remote Sensing Letters, 2016, 13(1): 18-22 [20]Y. Long, S. Wang, W. Wu, K. Liu*, Robust and efficient decoding scheme for line structured light, Optics and Lasers in Engineering, 2015, 75(12): 88-94 [19]Y. Long, S. Wang, W. Wu, X. Yang, G. Jeon, K. Liu*, Structured-light-assisted wireless digital optical communications, Optics Communications, 2015, 355(11): 406-410 [18]W. Gan, X. Wu*, W. Wu, X. Yang, C. Ren, X. He, K. Liu, Infrared and visible image fusion with the use of multi-scale edge-preserving decomposition and guided image filter, Infrared Physics & Technology, 2015, 72(9): 37-51 [17]Y. Long, S. Wang, W. Wu, X. Yang, G. Jeon, K. Liu*, Decoding line structured light patterns by using Fourier analysis, Optical Engineering, 2015, 54(7): 073109 [16]L. Chen, Z. Wang, H. Cheng, J. Zhang, Y. Cheng, H. You, Q. Luo, K. Liu*, Asynchronous probabilistic neighbour discovery algorithm in mobile low-duty-cycle WSNs, Electronics Letters, 2015, 51(13): 1031-1033 [15]Y. Long, S. Wang, W. Wu, K. Liu*, Accurate identification of saturated pixels for high dynamic range measurement, Optical Engineering, 2015, 54(4): 043106 [14]L. Chen, Y. Li, Y. Chen, K. Liu*, J. Zhang, Y. Cheng, H. You, Q. Luo, Prime-set-based neighbour discovery algorithm for low duty-cycle dynamic WSNs, Electronics Letters, 2015, 51(6): 534-536 [13]K. Liu*, X. Luo, W. Wu, X. Yang, X. Zheng, Fast and accurate calibration algorithm for laser pointer tracking via structured light illumination, Electronics Letters, 2014, 50(25): 1946-1948 [12]L. Chen, X. Xiong, Y. Chen, K. Liu*, J. Zhang, Y. Jiang, F. Yin, Q. Luo, Why (n + 1)th-hop neighbours are more important than nth-hop ones for localisation in multi-hop WSNs, Electronics Letters, 2014, 50(22): 1646-1648 [11]K. Wang, X. Wang, Z. Pan*, K. Liu, A two-stage framework for 3D face reconstruction from RGBD Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, 36(8): 1493-1504 [10]L. Chen*, X. Xiong, K. Liu, C. Wang, W. Zhou, Y. Cheng, Q. Luo, Y. Liu, POPA: localising nodes by splitting PLA with nth-hop anchor neighbours, Electronics Letters, 2014, 50(13): 964-966 [09]L. Chen*, M. Li, K. Liu, Z. Liu, J. Zhang, T. Peng, Y. Liu, Y. Xu, Q. Luo, T. He, Distributed range-free localisation algorithm for wireless sensor networks, Electronics Letters, 2014, 50(12): 894-896 [08]K. Liu*, S. Wang, D. L. Lau, K. E. Barner, F. Kiamilev, Nonlinearity calibrating algorithm for structured light illumination, Optical Engineering, 2014, 53(5): 050501 [07]Y. Zhou, K. Liu*, R. E. Carrillo, K. E. Barner*, F. Kiamilev, Kernel-based sparse representation for gesture recognition, Pattern Recognition, 2013, 46(12): 3208-3222 [06]Y. Wang, K. Liu*, Q. Hao, X. Wang, D. L. Lau, L. G. Hassebrook, Robust Active stereo vision using Kullback-Leibler divergence, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(3): 548-563 [05]Y. Wang, K. Liu*, Q. Hao, D. L. Lau, L. G. Hassebrook, Period coded phase shifting strategy for real-time 3-D structured light illumination, IEEE Transactions on Image Processing, 2011, 20(11): 3001-3013 [04]Y. Wang, K. Liu*, Q. Hao, D. L. Lau, L. G. Hassebrook, Maximum SNR pattern strategy for phase shifting methods in structured light illumination, Journal of the Optical Society of America A, 2010, 27(9): 1962-1971 [03]D. L. Lau, K. Liu*, L. G. Hassebrook, Real-time three-dimensional shape measurement of moving objects without edge errors by time synchronized structured illumination, Optics Letters, 2010, 35(14): 2487-2489 [02]K. Liu, Y. Wang*, D. L. Lau, Q. Hao, L. G. Hassebrook, Dual-frequency pattern scheme for high-speed 3-D shape measurement, Optics Express, 2010, 18(5): 5229-5244 [01]K. Liu, Y. Wang*, D. L. Lau, Q. Hao L. G. Hassebrook, Gamma model and its analysis for phase measuring profilometry, Journal of the Optical Society of America A, 2010, 27(3): 553-562 EI学术期刊: [11]田懿,包国琦,刘凯*,估计系统点扩散函数以降低相位测量轮廓术误差的研究,中国激光,2019,46(5):0504003 [10]赵涛,程冠鸿,刘凯*,梁伟博,多性能指标下区间二型T-S模糊时滞系统的滤波器设计,控制与决策,2018,33(6):989-998 [09]敬雪平,郑秀娟*,宋少莉,刘凯,一种计算机断层图像辅助的肾动态图像感兴趣区自动检测方法,生物医学工程学杂志,2017,34(6):928-933 [08]刘凯,夏苗,杨晓梅*,一种平面点集的高效凸包算法,工程科学与技术(原四川大学学报(工程科学版)),2017,49(5):109-116 [07]吴炜,王美洁,李智*,李康丽,刘凯,基于多传感器的红外图像超分辨,光学精密工程,2015,23(10z):566-575 [06]刘凯,龙云飞,王帅军,吴炜*,杨晓敏,相位测量轮廓术中结合几何标定的非线性校正(英),强激光与粒子束,2015,27(7):0710052 [05]杨洋,龙云飞,吴炜,杨晓敏,刘凯*,消除相位测量轮廓术中多路径效应的影响, 强激光与粒子束,2015,27(4):041013 [04]李娜,郑晓军,吴炜,刘凯*,抑制相位测量轮廓术饱和误差相位融合算法,强激光与粒子束,2014,26(12):121013 [03]赵静,吴炜,郑晓军,刘凯*,一种校正相位测量轮廓术量化误差的算法,强激光与粒子束,2014,26(11):111005 [02]许晓畅,王永昌,刘凯*,多路径模型对相位测量轮廓术的影响,计算机辅助设计与图形学学报,2014,26(4):566-573 [01]赵婧,王永昌,刘凯*,一种抑制相位测量轮廓术饱和误差的方法,中国激光,2013,40(10):1008001

学术兼职

[09]IEEE Signal Processing Letters副编辑(Associate Editor) [08]第7届全国模式识别会议(CCPR2016)本地组织委员会主席(Local Arrangements Chair) [07]IEEE ChinaSIP2015 宣传主席(Publicity Chair) [06]CCBR2016、ICVRV2016和IEEE GlobalSIP2015技术委员会成员 [05]IEEE、OSA等期刊审稿 [04]IEEE高级会员(Senior Member) [03]四川省有突出贡献的优秀专家 [02]四川省“天府峨眉计划”入选者 [01]第八届全国高校互换性与测量技术基础研究会常务理事

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