深蓝学院-三维点云课程

┣━slxy009-深蓝学院-三维点云课程

三维点云的门槛比较高，就业薪资和需求方面相比其他稍微好些，学了这个课程能增加一些竞争力。在实际中用到视觉方向也比较多，像人脸识别、古建筑重建、导航、机器人等都需要点云信息，需求很大。深度信息相比传统图像信息，有更多的特征可以利用，而且比图像防欺骗性更强。

深蓝学院-三维点云课程

┣━第五节课
┣━5.3pointnet++[2].mp4
┣━PointCloudLecture5DeepLearningwithPointClouds.pdf
┣━5.1 deep learning introduction[2].mp4
┣━5.2pointnet[2].mp4
┣━第三次课
┣━3.5Spectral clustering[2].mp4
┣━3.3GMM[2].mp4
┣━3.4EM[2].mp4
┣━3.2K-means[2].mp4
┣━3.1math prerequisite[2].mp4
┣━PointCloudHomeworkIII.rar
┣━PointCloudLecture3Clustering.pdf
┣━第六次课
┣━6.3voxelnet&pointillar[2].mp4
┣━6.2image-based object detection[2].mp4
┣━6.1introduction[2].mp4
┣━PointCloudLecture6.pdf
┣━6.4pointRCNN[2].mp4
┣━6.5pointcloud&image fusion[2].mp4
┣━第七次课
┣━7.1 introduction && harris 2d[2].mp4
┣━7.3 ISS[2].mp4
┣━7.2 harris 3d[2].mp4
┣━7.4 USIP[2].mp4
┣━7.5 SO-NET[2].mp4
┣━PointCloudLecture7-ld-2020.5.21.pdf
┣━第二次课ppt
┣━PointCloudLecture2v3.0.pdf
┣━第八次课
┣━海量优质it资源.url
┣━8.1 PFH&&FPFH[2].mp4
┣━看看我.zip
┣━8.2 SHOT[2].mp4
┣━8.3 3D_match&&perfect_match [2].mp4
┣━面试合集.txt
┣━下载必看.txt
┣━高薪学习it网.url
┣━资料2.zip
┣━课程总结[2].mp4
┣━软件下载.txt
┣━PointCloudLecture8-ld-2020.5.23.pdf
┣━解压密码：dbbp.net
┣━8.4 PPFNet &&PPF_folder [2].mp4
┣━3d数据集
┣━KITTI_odometry
┣━devkit_odometry.zip
┣━data_odometry_poses.zip
┣━data_odometry_velodyne
┣━sequences
┣━11-21.rar
┣━1-10.rar
┣━KITTI_object
┣━data_object_velodyne.part2.rar
┣━data_object_velodyne.part1.rar
┣━data_object_label_2.zip
┣━KITTI_depth
┣━data_depth_annotated.zip
┣━data_depth_velodyne.zip
┣━data_depth_selection.zip
┣━devkit
┣━cpp
┣━make.sh
┣━evaluate_depth
┣━io_depth.h
┣━log_colormap.h
┣━evaluate_depth.cpp
┣━utils.h
┣━python
┣━read_depth.py
┣━matlab
┣━depth_read.m
┣━readme.txt
┣━modelnet40_normal_resampled.zip
┣━3D PCL 数据集
┣━KITTI_object
┣━data_object_label_2.zip
┣━data_object_velodyne.part1(1).rar
┣━data_object_velodyne.part1.rar
┣━data_object_velodyne.part2.rar
┣━KITTI_depth
┣━data_depth_annotated.zip
┣━data_depth_selection.zip
┣━data_depth_velodyne.zip
┣━devkit
┣━python
┣━read_depth(1).py
┣━read_depth.py
┣━matlab
┣━depth_read.m
┣━depth_read(1).m
┣━readme.txt
┣━cpp
┣━evaluate_depth(1).cpp
┣━io_depth.h
┣━utils(1).h
┣━make(1).sh
┣━make.sh
┣━log_colormap.h
┣━evaluate_depth.cpp
┣━evaluate_depth
┣━io_depth(1).h
┣━utils.h
┣━evaluate_depth【海量资源：ubkz(1).com】
┣━log_colormap(1).h
┣━modelnet40_normal_resampled.zip
┣━KITTI_odometry
┣━data_odometry_poses.zip
┣━devkit_odometry.zip
┣━data_odometry_velodyne
┣━1-10.rar
┣━11-21(1).rar
┣━1-10(1).rar
┣━11-21.rar
┣━第四节课
┣━HomeworkIVclustering.rar
┣━4.4 ransac[2].mp4
┣━4.1 spectral clusterig[2].mp4
┣━4.2meanshift&dbcan[2].mp4
┣━4.3least_square[2].mp4
┣━pointcloudLecture4Clustering&Modelfitting.pdf
┣━第一次课，声音正常版本
┣━6-（ppt）PointCloudLecture1v4.0.pdf
┣━1-Introduction[2].mp4
┣━2-PCA[2].mp4
┣━4-[2].mp4
┣━3-kernel PCA[2].mp4
┣━5-（作业）PointCloudHomeworkI.rar
┣━第二次课
┣━2.2_KD-tree[2].mp4
┣━PointCloudLecture2v3.0.pdf
┣━lesson2code.zip
┣━2.1_binary_search_tree[2].mp4
┣━2.3_Octree[2].mp4
┣━imgs
┣━4.png
┣━3.png
┣━1.jpg
┣━2.png
┣━第九次课
┣━9.1 ICP_1[2].mp4
┣━registration_dataset.zip
┣━9.3ndt[2].mp4
┣━9.2ICP_2[2].mp4
┣━PointCloudLecture9.pdf
┣━9.4ransac[2].mp4