课程介绍:
三维点云相比于二维图像,多了一个维度,其相对较难处理。一方面,其天然具有分布无规则提醒,为点云处理中的特征提取带来了诸多困难。另一方面,三维点云学习相关教材寥寥无几,网上资料也比较零散,国内外几乎没有系统讲解三维点云的课程,比较优质的交流社群更是少有。
基于此,希望通过这门课,大家能对一些三维点云中经典的算法理论有一些清晰的认识与理解,让大家能轻松入门三维点云,且具备一定实战能力。
课程截图:
〖课程目录〗:
- | └──9、三维点云课程
- | | ├──3d数据集
- | | | ├──3D PCL 数据集
- | | | ├──KITTI_depth
- | | | ├──KITTI_object
- | | | ├──KITTI_odometry
- | | | └──modelnet40_normal_resampled.zip 1.59G
- | | ├──imgs
- | | | ├──1.jpg 143.69kb
- | | | ├──2.png 139.45kb
- | | | ├──3.png 84.42kb
- | | | └──4.png 63.21kb
- | | ├──第八次课
- | | | ├──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
- | | ├──第二次课
- | | | ├──2.1_binary_search_tree.mp4 131.83M
- | | | ├──2.2_KD-tree.mp4 84.34M
- | | | ├──2.3_Octree.mp4 91.15M
- | | | ├──lesson2code.zip 19.50kb
- | | | └──PointCloudLecture2v3.0.pdf 3.48M
- | | ├──第二次课ppt
- | | | └──PointCloudLecture2v3.0.pdf 3.48M
- | | ├──第九次课
- | | | ├──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
- | | | ├──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
- | | | ├──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
- | | | ├──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 4.09kb
- | | | └──PointCloudLecture3Clustering.pdf 3.38M
- | | ├──第四节课
- | | | ├──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 1.35kb
- | | | └──pointcloudLecture4Clustering&Modelfitting.pdf 3.28M
- | | ├──第五节课
- | | | ├──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
- | | | ├──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 91.63kb
- | | | └──6-(ppt)PointCloudLecture1v4.0.pdf 4.14M
- | | └──重要链接,一个同学的参考答案.txt 0.06kb
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