01.第1章 Introduction and Basic Algorithms
1.1Introduction- (2).mp4
1.2PCA- (2).mp4
1.3kernel PCA- (2).mp4
1.4- (2).mp4

02.第2章 Nearest Neighbor Problem
2.1.binary_search_tree- (2).mp4
2.2.KD-tree- (2).mp4
2.3.Octree- (2).mp4

03.第3章 Clustering
3.1math prerequisite- (2).mp4
3.2K-means- (2).mp4
3.3GMM- (2).mp4
3.4EM- (2).mp4
3.5Spectral clustering- (2).mp4

04.第4章 Model Fitting
4.1 spectral clusterig- (2).mp4
4.2meanshift&dbcan- (2).mp4
4.3least_square- (2).mp4
4.4 houg tranform- (2).mp4
4.5 ransac- (2).mp4

05.第5章 Deep Learning on Point Cloud
5.1 deep learning introduction- (2).mp4
5.2pointnet- (2).mp4
5.3pointnet++- (2).mp4

06.第6章 3D Object Detection
6.1introduction- (2).mp4
6.2image-based object detection- (2).mp4
6.3voxelnet&pointillar- (2).mp4
6.4pointRCNN- (2).mp4
6.5pointcloud&image fusion.mp4


07.第7章 3D Feature Detection
7.1 introduction && harris 2d.mp4
7.2 harris 3d.mp4
7.3 ISS.mp4
7.4 USIP.mp4
7.5 SO-NET.mp4

08.第8章 3D Feature Description
8.1 PFH&&FPFH.mp4
8.2 SHOT.mp4
8.3 3D_match perfect_match -.mp4
8.4 PPFNet PPF_folder -.mp4