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[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
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[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
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[37]
| M. Jia, X. Yang, andK. Liu*, Automatically detecting rigidly and non-rigidly deformed facial landmarks from coarseness to fineness, Journal of Electronic Imaging, 2019, 28(6): 063009
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[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
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[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
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[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
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[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
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[32]
| Y. Yuan, X. Yang, W. Wu*, H. Li, Y. Liu, andK. Liu, A fast single-image super-resolution method implemented with CUDA, Journal of Real-Time Image Processing, 2019, 16(1): 81-97
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[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
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[30]
| L. Jian, X. Yang*, Z. Zhou, K. Zhou, andK. Liu, Multi-scale image fusion through rolling guidance filter, Future Generation Computer Systems, 2018, 83(6): 310-325
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
|