保留边界特征的深度图像增强算法研究
[1] BUDZAN S, KASPRZYK J. Fusion of 3D laser scanner and depth images for obstacle recognition in mobile applications[J]. Optics and Lasers in Engineering, 2016, 77(7): 230-240.
[2] 杨鸿, 钱堃, 戴先中, 等. 基于Kinect传感器的移动机器人室内环境三维地图创建[J]. 东南大学学报: (自然科学版),2013, 43(s1): 183-187.
YANG Hong, QIAN Kun, DAI Xianzhong, et al. Kinect-based 3D indoor environment map building for mobile robot[J]. Journal of Southeast University: Natural Science Edition, 2013,43(s1): 183-187.
[3] 秦超龙, 宋爱国, 吴常铖, 等. 基于Unity 3D与Kinect的康复训练机器人情景交互系统[J]. 仪器仪表学报, 2017, 38(3): 530-536.
QIN Chaolong, SONG Aiguo, WU Changcheng, et al. Scenario interaction system of rehabilitation training robot based on Unity 3D and Kinect[J]. Chinese Journal of Scientific Instrument, 2017, 38(3): 530-536.
[4] TANG S, ZHU Q, CHEN W, et al. Enhanced RGB-D mapping method for detailed 3D indoor and outdoor modeling[J]. Sensors, 2016, 16(10): 1589.
[5] 郭连朋, 陈向宁, 刘彬,等. 基于Kinect传感器多深度图像融合的物体三维重建[J]. 应用光学, 2014(5): 811-816.
GUO Lianpeng, CHEN Xiangning, LIU Bin, et al. 3D-object reconstruction based on depth images by Kinect sensor[J]. Journal of Applied Optics, 2014,35(5): 811-816.
[6] MALLICK T, DAS P P, MAJUMDAR A K. Characterizations of noise in kinect depth images: A review[J]. Sensors Journal IEEE, 2014, 14(6): 1731-1740.
[7] LIU R, LI B, HUANG Z, et al. Hole filling using joint bilateral filtering for moving object segmentation[J]. Journal of Electronic Imaging, 2014, 23(6): 063021.
[8] 李知菲, 陈源. 基于联合双边滤波器的Kinect深度图像滤波算法[J]. 计算机应用, 2014, 34(8): 2231-2234.
LI Zhifei, CHEN Yuan. Kinect depth image filtering algorithm based on joint bilateral filter[J]. Journal of Computer Applications, 2014, 34(8): 2231-2234.
[9] JUNG S W. Enhancement of image and depth map using adaptive joint trilateral filter[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2013, 23(2): 258-269.
[10] XIAGN X, YAN Z, NAN C, et al. A modified joint trilateral filter based depth map refinement method[C].US: IEEE,2016.
[11] BAPAT A, RAVI A, RAMAN S. An iterative, non-local approach for restoring depth maps in RGB-D images[C]. US: IEEE, 2015.
[12] YANG Q, AHUJA N, YANG R, et al. Fusion of median and bilateral filtering for range image upsampling[J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 2013, 22(12): 4841-4852.
[13] HORNG Y R, TSENG Y C, CHANG T S. Stereoscopic images generation with directional Gaussian filter[C]. US: IEEE,2010.
[14] SCHARSTEIN D, PAL C. Learning conditional random fields for stereo[C].US: IEEE,2007.
[15] HIRSCHMULLER H, SCHARSTEIN D. Evaluation of cost functions for stereo matching[C].US: IEEE,2007.
[16] 钱钧, 李良福, 周锋飞,等. 基于结构特征引导滤波的深度图像增强算法研究[J]. 应用光学, 2016, 37(2): 203-208.
周自顾, 曹杰, 郝群, 高泽东, 肖宇晴. 保留边界特征的深度图像增强算法研究[J]. 应用光学, 2018, 39(2): 200. Zhou Zigu, Cao Jie, Hao Qun, Gao Zedong, Xiao Yuqing. Depth image enhancement algorithm for preserving boundary[J]. Journal of Applied Optics, 2018, 39(2): 200.