小薇 三维点云课程
课程介绍：
课程文件目录：三维点云课程[118.29G]
：
3d数据集[114.53G]
3DPCL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]
：
8.1PFH&&FPFH.mp4[68.19M]
8.2SHOT.mp4[51.64M]
8.33D_match&&perfect_match.mp4[97.66M]
8.4PPFNet&&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]
9.1ICP_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-basedobjectdetection.mp4[178.71M]
6.3voxelnet&pointillar.mp4[127.08M]
6.4pointRCNN.mp4[90.89M]
6.5pointcloud&imagefusion.mp4[65.25M]
PointCloudLecture6.pdf[6.42M]
第七次课[405.32M]
7.1introduction&&harris2d.mp4[129.09M]
7.2harris3d.mp4[70.24M]
7.3ISS.mp4[22.80M]
7.4USIP.mp4[124.18M]
7.5SO-NET.mp4[53.13M]
PointCloudLecture7-ld-2020.5.21.pdf[5.89M]
第三次课[387.27M]
3.1mathprerequisite.mp4[67.56M]
3.2K-means.mp4[79.55M]
3.3GMM.mp4[93.61M]
3.4EM.mp4[78.56M]
3.5Spectralclustering.mp4[64.61M]
PointCloudHomeworkIII.rar[4.09K]
PointCloudLecture3Clustering.pdf[3.38M]
第四节课[373.76M]
4.1spectralclusterig.mp4[192.47M]
4.2meanshift&dbcan.mp4[87.49M]
4.3least_square.mp4[32.79M]
4.4ransac.mp4[57.73M]
HomeworkIVclustering.rar[1.35K]
pointcloudLecture4Clustering&Modelfitting.pdf[3.28M]
第五节课[405.94M]
5.1deeplearningintroduction.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-kernelPCA.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]
课程下载地址：
精品课程，SVIP下载，下载前请阅读上方文件目录，链接下载为百度云网盘，如连接失效，可评论告知。
