Dr. Wang Cheng, Professor, Vice Dean-School of Information Science and Engineering

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Dr. Wang Cheng, Professor, Vice Dean

Research Interests：computer vision, information fusion, intelligent remote sensing image processing

Email：cwang (AT) xmu.edu.cn

Resume：

Projects

Close Range Object Perception Based on Fusion of Full-Waveform Terrestrial Laser Scanning Point Cloud and Visible Image (NNSF 2013)

Selected Publications

[1] *Cao L, Wang C, Li J,2015. Robust depth-based object tracking from a moving binocular camera, Signal Processing,112,154-161(Elsevier: SCI)

[2] Zeng M, *Cao L, Cheng X, Lin K, Dong H, Wang C, 2015. Shape completion for depth image via repeated objects registration, Neurocomputing, 169, 144-149(Elsevier: SCI)

[3] *Cheng M, Wang C, Li J, 2015. Single-image super-resolution in RGB space via group sparse representation, IET Image Processing, 9(6), 461-467(IET: SCI)

[4] Guan H, *Li J, Yu Y, Chapman M, Wang C, 2015. Automated road information extraction from mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, 16(1): 194-205 (IEEE: SCI/EI).

[5] Wei B, *Cheng M, Wang C, Li J, 2015. Combinative hypergraph learning for semi-supervised image classification, Neurocomputing, 153, 271-277 (Elsevier: SCI).

[6] Yu Y, *Li J, Guan H, Jia F, Wang C, 2015. Three-dimensional object matching in mobile laser scanning point clouds, IEEE Geoscience and Remote Sensing Letters, 12(3): 492-496(IEEE: SCI/EI).

[7] Yu Y, *Li J, Guan H, Wang C, Yu J, 2015. Semiautomated extraction of street light poles from mobile LiDAR point-clouds, IEEE Transactions on Geoscience and Remote Sensing, 53(3): 1374-1386 (IEEE: SCI/EI).

[8] Guan H, *Li J, Yu Y, Chapman MA, Wang H, Wang C, Zhai R, 2015. Iterative tensor voting for pavement crack extraction using mobile laser scanning data, IEEE Transactions on Geoscience and Remote Sensing, 53(3): 1527-1537 (IEEE: SCI/EI).

[9] Yu Y, *Li J, Guan H, Jia F, Wang C, 2015. Learning hierarchical features for automated extraction of road markings from 3D mobile LiDAR point clouds, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(2), 709-726 (IEEE: SCI/EI)

[10] Chen Z, *Wang C, Wen C, Teng X, Chen Y, Guan H, Luo H, Cao L, Li J, 2015 [online]. Vehicle detection in high-resolution aerial images via sparse representation and superpixels, IEEE Transactions on Geoscience and Remote Sensing, 10.1109/TGRS.2015.2451002 (IEEE: SCI/EI)

[11] Luo H, Wang C, *Wen C, Cai Z, Chen Z, Wang H, Yu Y, Li J, 2015 [online]. Patch-based semantic labeling of road scene using colorized mobile LiDAR point clouds, IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2015.2499196 (IEEE: SCI/EI)

[12] Wen C, Li J, Luo H, Yu Y, Cai Z, Wang H, *Wang C, 2015 [online].Spatial-related traffic sign inspection for inventory purposes using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, DOI:10.1109/TITS.2015.2418214 (IEEE: SCI/EI)

[13] Cai Z, *Wang C, Wen C, Li J, 2015. Occluded boundary detection for small-footprint ground-borneLiDAR point cloud guided by last-echo, IEEE Geoscience and Remote Sensing Letters, 12(11), 2272-2276(IEEE SCI/EI)

[14] Wang H, Luo H, *Wen C, Cheng J, Li P, Chen Y, Wang C, and Li J, 2015. Road boundaries detection based on local normal saliency from mobile laser scanning data, IEEE Geoscience and Remote Sensing Letters, 12(10), 2085-2089(IEEE: SCI/EI)

[15] Wang H, *Wang C, Luo H, Li P, Chen Y, Li J, 2015. 3-D point cloud object detection based on supervoxel neighborhood with Hough forest framework, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(4), 1570-1581 (IEEE: SCI/EI)

[16] Lin Y, *Wang C, Cheng J, Chen B, Jia F, Chen Z, Li J, 2015. Line segment extraction for large scale unorganized point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, 102, 172–183 (Elsevier: SCI)

[17] Guan H, *Li J, Yu Y, Ji Z, Wang C, 2015. Using mobile LiDAR data for rapidly updating road markings, IEEE Transactions on Intelligent Transportation Systems,16(5), 2457-2466 (IEEE: SCI/EI)

[18] Yu Y, *Li J, Guan H, Wang C, 2015. Automated extraction of urban road facilities using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, 16(4), 2167-2181 (IEEE: SCI/EI).

[19] *Cao L, Wang C, Li J,2015. Robust depth-based object tracking from a moving binocular camera, Signal Processing,112,154-161(Elsevier: SCI)

[20] *Cheng M, Wang C, Li J, 2015. Single-image super-resolution in RGB space via group sparse representation, IET Image Processing, 9(6), 461-467(IET: SCI)

[21] Guan H, *Li J, Yu Y, Chapman M, Wang C, 2015. Automated road information extraction from mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, 16(1): 194-205 (IEEE: SCI/EI).

[22] Wei B, *Cheng M, Wang C, Li J, 2015. Combinative hypergraph learning for semi-supervised image classification, Neurocomputing, 153, 271-277 (Elsevier: SCI).

[23] Yu Y, *Li J, Guan H, Jia F, Wang C, 2015. Three-dimensional object matching in mobile laser scanning point clouds, IEEE Geoscience and Remote Sensing Letters, 12(3): 492-496(IEEE: SCI/EI).

[24] Yu Y, *Li J, Guan H, Wang C, Yu J, 2015. Semiautomated extraction of street light poles from mobile LiDAR point-clouds, IEEE Transactions on Geoscience and Remote Sensing, 53(3): 1374-1386 (IEEE: SCI/EI).

[25] Guan H, *Li J, Yu Y, Chapman MA, Wang H, Wang C, Zhai R, 2015. Iterative tensor voting for pavement crack extraction using mobile laser scanning data, IEEE Transactions on Geoscience and Remote Sensing, 53(3): 1527-1537 (IEEE: SCI/EI).

[26] Yu Y, *Li J, Guan H, Jia F, Wang C, 2015. Learning hierarchical features for automated extraction of road markings from 3D mobile LiDAR point clouds, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(2), 709-726 (IEEE: SCI/EI)