三维点云课程，百度网盘分享

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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]