刘凯-k8凯发官网

[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

[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

2001

computer science, sichuan   university, china, m.s.

1996

computer science, sichuan   university, china, b.s.

2010-2011

postdoctoral researcher,   department of electrical engineering, university of delaware, usa

2001-2005

lecturer, school of computer   science, sichuan university, china

1996-1998

computer engineer, wuxi branch   of jiansu commercial bank, china

[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

[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

[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

[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

[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

[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

[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

[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