|
[1]
|
Zhao Min, Xiong Zhaolong, Xing Yan, et al. Real-time integral imaging pickup system based on binocular stereo camera[J]. Infrared and Laser Engineering, 2017, 46(11):1103007. (in Chinese) |
|
[2]
|
Naeemabadi M Reza, Dinesen Birthe, Andersen Ole Kaeseler, et al. Influence of a Marker-based motion capture system on the performance of microsoft Kinect v2 skeleton algorithm[J]. IEEE Sensors Journal, 2019, 19(1):171-179. |
|
[3]
|
Guo Chunle, Li Chongyi, Guo Jichang, et al. Hierarchical features driven residual learning for depth map super-resolution[J]. IEEE Transaction on Image Processing, 2019, 28(5):2545-2557. |
|
[4]
|
Chen Guangda, Cui Guowei, Jin Zhongxiao, et al. Accurate intrinsic and extrinsic calibration of RGB-D cameras w with GP-based depth correction[J]. IEEE Sensors Journal, 2019, 19(7):2685-2694. |
|
[5]
|
Cao Ting, Wang Weixing. Detection method for the depth of pavement broken block in cement concrete based on 3D laser scanning technology[J], Infrared and Laser Engineering, 2017, 46(2):0206006. (in Chinese) |
|
[6]
|
Moon Sungphill, Park Youngbin, Ko Dong Wook, et al. Multiple kinect sensor fusion for human skeleton tracking using Kalman filtering[J]. International Journal of Advanced Robotic Systems, 2016, 13(65):1-10. |
|
[7]
|
Boutellaa Elhocine, Hadid Abdenour, Bengherabi Messaoud, et al. On the use of Kinect depth data for identity, gender and ethnicity classification from facial images[J]. Pattern Recognition Letters, 2015, 68(2):270-277. |
|
[8]
|
Hu Jinhui, Hu Ruimin, Wang Zhongyuan, et al. Color image guided locality regularized representation for depth holes filling[C]//IEEE International Conference on Visual Communications and Image Processing (VCIP), 2013:17-20. |
|
[9]
|
Yang Jingyu, Gan Ziqiao, Li Kun, et al. Graph-based segmentation for RGB-D data using 3-D geometry enhanced superpixels[J]. IEEE Trans Cybern, 2015, 45(5):913-926. |
|
[10]
|
Camplani Massimo, Salgado Luis. Efficient spatio-temporal hole filling strategy for Kinect depth maps[C]//Three-Dimensional Image Processing (3DIP) and Applications, 2012:8290. |
|
[11]
|
Maimone Andrew, Bidwell Jonathan, Peng Kun, et al. Enhanced personal auto stereoscopic telepresence system using commodity depth cameras[J]. Comput Graph, 2012, 36(7):791-807. |
|
[12]
|
Essmaeel Kyis, Gallo Luigi, Damiani Ernesto, et al. Comparative evaluation of methods for filtering Kinect depth data[J]. Multimed Tools Appl, 2015, 74(17):7331-7354. |
|
[13]
|
Deng Teng, Li Hui, Cai Jianfei, et al. Kinect shadow detection and classification[C]//IEEE International Conference on Computer Vision Workshops, 2013:708-713. |
|
[14]
|
Ma Ronggui, Cao Ting, Wang Weixing. HUD image vibration detection on improved edge detection and corner extraction[J] International Journal of Signal Processing, 2014, 7(1):393-404. |
|
[15]
|
Pu Yifei, Zhou Jiliu, Yuan Xiao. Fractional differential mask:a fractional differential-based approach for milti scale texture enhancement[J]. IEEE Transactions on Image Processing, 2010, 19(2):491-511. |
|
[16]
|
Perrin Emmanuel, Harba Rachid, Corinne Berzin-Joseph, et al. nth-order fractional Brownian motion and fractional Gaussian noises[J]. IEEE Transactions on Signal Processing, 2001, 49(5):1049-1059. |
|
[17]
|
Hu Fuyuan, Si Shaohui, San Wong, et al. An adaptive approach for texture enhancement based on a fractional differential operator with non-integer step and order[J]. Neurocomputing, 2015, 158:295-306. |
|
[18]
|
Cao Ting, Wang Weixing, Tighe Susan, et al. Crack image detection based on fractional differential and fractal dimension[J]. IET Computer Vision, 2019, 13(1):79-58. |
|
[19]
|
Li Bo, Xie Lei. Image denoising and enhancement based on adaptive fractional calculus of small probability strategy[J]. Neurocomputing, 2016, 175:704-717. |
|
[20]
|
Cao Ting, Yang Nan, Wang Fengping, et al. Crack image segmentation based on improved DBC method[C]//SPIE Conference on LIDAR Imaging Detection and Target Recognition, 2017, 15(11):106052B. |
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