课程文件目录：三维点云课程 体积大小：118.29G
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3d数据集 [114.53G]
3d pcl 数据集 [57.27G]
kitti_depth [19.95G]
devkit [117.68K]
cpp [112.40K]
evaluate_depth [90.17K]
evaluate_depth.cpp [10.71K]
io_depth.h [9.47K]
log_colormap.h [0.31K]
make.sh [0.20K]
utils.h [1.55K]
matlab [0.15K]
depth_read.m [0.15K]
python [0.44K]
read_depth.py [0.44K]
readme.txt [4.68K]
data_depth_annotated.zip [13.26G]
data_depth_selection.zip [1.87G]
data_depth_velodyne.zip [4.81G]
kitti_object [15.40G]
data_object_label_2.zip [5.34M]
data_object_velodyne.part1.rar [15.00G]
data_object_velodyne.part2.rar [402.13M]
kitti_odometry [20.33G]
data_odometry_velodyne [20.33G]
1-10.rar [9.81G]
11-21.rar [10.52G]
data_odometry_poses.zip [1.25M]
devkit_odometry.zip [16.40K]
modelnet40_normal_resampled.zip [1.59G]
kitti_depth [19.95G]
devkit [117.68K]
cpp [112.40K]
evaluate_depth [90.17K]
evaluate_depth.cpp [10.71K]
io_depth.h [9.47K]
log_colormap.h [0.31K]
make.sh [0.20K]
utils.h [1.55K]
matlab [0.15K]
depth_read.m [0.15K]
python [0.44K]
read_depth.py [0.44K]
readme.txt [4.68K]
data_depth_annotated.zip [13.26G]
data_depth_selection.zip [1.87G]
data_depth_velodyne.zip [4.81G]
kitti_object [15.40G]
data_object_label_2.zip [5.34M]
data_object_velodyne.part1.rar [15.00G]
data_object_velodyne.part2.rar [402.13M]
kitti_odometry [20.33G]
data_odometry_velodyne [20.33G]
sequences [20.33G]
1-10.rar [9.81G]
11-21.rar [10.52G]
data_odometry_poses.zip [1.25M]
devkit_odometry.zip [16.40K]
modelnet40_normal_resampled.zip [1.59G]
imgs [430.77K]
1.jpg [143.69K]
2.png [139.45K]
3.png [84.42K]
4.png [63.21K]
第八次课 [339.96M]
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8.1 pfh&&fpfh.mp4 [68.19M]
8.2 shot.mp4 [51.64M]
8.3 3d_match&&perfect_match .mp4 [97.66M]
8.4 ppfnet &&ppf_folder .mp4 [74.37M]
pointcloudlecture8-ld-2020.5.23.pdf [4.05M]
看看我.zip [14.66M]
课程总结.mp4 [14.73M]
面试合集.txt [0.18K]
软件下载.txt [0.15K]
下载必看.txt [0.16K]
资料2.zip [14.66M]
第二次课 [314.31M]
第二次课ppt [3.48M]
pointcloudlecture2v3.0.pdf [3.48M]
2.1_binary_search_tree.mp4 [131.83M]
2.2_kd-tree.mp4 [84.34M]
2.3_octree.mp4 [91.15M]
lesson2code.zip [19.50K]
pointcloudlecture2v3.0.pdf [3.48M]
第九次课 [591.55M]
9.1 icp_1.mp4 [61.81M]
9.2icp_2.mp4 [62.26M]
9.3ndt.mp4 [83.99M]
9.4ransac.mp4 [21.32M]
pointcloudlecture9.pdf [2.96M]
registration_dataset.zip [359.22M]
第六次课 [606.26M]
6.1introduction.mp4 [137.91M]
6.2image-based object detection.mp4 [178.71M]
6.3voxelnet&pointillar.mp4 [127.08M]
6.4pointrcnn.mp4 [90.89M]
6.5pointcloud&image fusion.mp4 [65.25M]
pointcloudlecture6.pdf [6.42M]
第七次课 [405.32M]
7.1 introduction && harris 2d.mp4 [129.09M]
7.2 harris 3d.mp4 [70.24M]
7.3 iss.mp4 [22.80M]
7.4 usip.mp4 [124.18M]
7.5 so-net.mp4 [53.13M]
pointcloudlecture7-ld-2020.5.21.pdf [5.89M]
第三次课 [387.27M]
3.1math prerequisite.mp4 [67.56M]
3.2k-means.mp4 [79.55M]
3.3gmm.mp4 [93.61M]
3.4em.mp4 [78.56M]
3.5spectral clustering.mp4 [64.61M]
pointcloudhomeworkiii.rar [4.09K]
pointcloudlecture3clustering.pdf [3.38M]
第四节课 [373.76M]
4.1 spectral clusterig.mp4 [192.47M]
4.2meanshift&dbcan.mp4 [87.49M]
4.3least_square.mp4 [32.79M]
4.4 ransac.mp4 [57.73M]
homeworkivclustering.rar [1.35K]
pointcloudlecture4clustering&modelfitting.pdf [3.28M]
第五节课 [405.94M]
5.1 deep learning introduction.mp4 [175.00M]
5.2pointnet.mp4 [135.79M]
5.3pointnet++.mp4 [90.52M]
pointcloudlecture5deeplearningwithpointclouds.pdf [4.63M]
第一次课，声音正常版本 [380.49M]
1-introduction.mp4 [48.93M]
2-pca.mp4 [64.69M]
3-kernel pca.mp4 [51.75M]
4-.mp4 [210.90M]
5-（作业）pointcloudhomeworki.rar [91.63K]
6-（ppt）pointcloudlecture1v4.0.pdf [4.14M]
看看我.zip [14.66M]
课程总结.mp4 [14.73M]
面试合集.txt [0.18K]
软件下载.txt [0.15K]
下载必看.txt [0.16K]
重要链接，一个同学的参考答案.txt [0.06K]
资料2.zip [14.66M]
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