Kai Liu
Kai Liu
Professor of Electrical Engineering, Sichuan University, China
Verified email at scu.edu.cn
Cited by
Cited by
Dual-frequency pattern scheme for high-speed 3-D shape measurement
K Liu, Y Wang, DL Lau, Q Hao, LG Hassebrook
Optics express 18 (5), 5229-5244, 2010
Gamma model and its analysis for phase measuring profilometry
K Liu, Y Wang, DL Lau, Q Hao, LG Hassebrook
JOSA A 27 (3), 553-562, 2010
Infrared and visible image fusion with the use of multi-scale edge-preserving decomposition and guided image filter
W Gan, X Wu, W Wu, X Yang, C Ren, X He, K Liu
Infrared Physics & Technology 72, 37-51, 2015
Period coded phase shifting strategy for real–time 3-D structured light illumination
Y Wang, K Liu, Q Hao, DL Lau, LG Hassebrook
IEEE Transactions on Image Processing 20 (11), 3001-3013, 2011
Robust active stereo vision using Kullback-Leibler divergence
Y Wang, K Liu, Q Hao, X Wang, DL Lau, LG Hassebrook
IEEE transactions on pattern analysis and machine intelligence 34 (3), 548-563, 2012
Maximum SNR pattern strategy for phase shifting methods in structured light illumination
Y Wang, K Liu, DL Lau, Q Hao, LG Hassebrook
JOSA A 27 (9), 1962-1971, 2010
An adaptive pansharpening method by using weighted least squares filter
Y Song, W Wu, Z Liu, X Yang, K Liu, W Lu
IEEE Geoscience and Remote Sensing Letters 13 (1), 18-22, 2015
Multi-scale image fusion through rolling guidance filter
L Jian, X Yang, Z Zhou, K Zhou, K Liu
Future Generation Computer Systems 83, 310-325, 2018
Kernel-based sparse representation for gesture recognition
Y Zhou, K Liu, RE Carrillo, KE Barner, F Kiamilev
Pattern Recognition 46 (12), 3208-3222, 2013
Medical images fusion by using weighted least squares filter and sparse representation
W Jiang, X Yang, W Wu, K Liu, A Ahmad, AK Sangaiah, G Jeon
Computers & Electrical Engineering 67, 252-266, 2018
Multicamera phase measuring profilometry for accurate depth measurement
Y Wang, K Liu, Q Hao, D Lau, LG Hassebrook
Sensors and Systems for Space Applications 6555, 655509, 2007
A new framework for remote sensing image super-resolution: sparse representation-based method by processing dictionaries with multi-type features
W Wu, X Yang, K Liu, Y Liu, B Yan
Journal of Systems Architecture 64, 63-75, 2016
Multiple dictionary pairs learning and sparse representation-based infrared image super-resolution with improved fuzzy clustering
X Yang, W Wu, K Liu, W Chen, Z Zhou
Soft Computing 22 (5), 1385-1398, 2018
Retinex-based image enhancement framework by using region covariance filter
F Tao, X Yang, W Wu, K Liu, Z Zhou, Y Liu
Soft Computing 22 (5), 1399-1420, 2018
Real-time three-dimensional shape measurement of moving objects without edge errors by time-synchronized structured illumination
DL Lau, K Liu, LG Hassebrook
Optics letters 35 (14), 2487-2489, 2010
Long-distance object recognition with image super resolution: A comparative study
X Yang, W Wu, K Liu, PW Kim, AK Sangaiah, G Jeon
IEEE Access 6, 13429-13438, 2018
Thin-walled compliant mechanism component design assisted by machine learning and multiple surrogates
K Liu, A Tovar, E Nutwell, D Detwiler
SAE, 2015
Gated multiple feedback network for image super-resolution
Q Li, Z Li, L Lu, G Jeon, K Liu, X Yang
arXiv preprint arXiv:1907.04253, 2019
Multi-sensor image super-resolution with fuzzy cluster by using multi-scale and multi-view sparse coding for infrared image
X Yang, W Wu, K Liu, W Chen, P Zhang, Z Zhou
Multimedia Tools and Applications 76 (23), 24871-24902, 2017
A Two-Stage Framework for 3D Face Reconstruction From RGBD Images
K Wang, X Wang, Z Pan, K Liu
IEEE Trans Pattern Anal Mach Intell 36 (8), 1493-1504, 2014
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