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Github+Hexo+icarus创建自定义blog - Hexo
使用Github+Hexo+icarus创建自定义blog
点云采样 - Hexo
https://harrylin-hyl.github.io/2020/02/01/%E7%82%B9%E4%BA%91%E9%87%87%E6%A0%B7/#more
有关点云采样的方法: 格点采样、均匀采样、几何采样
点云基于图论的处理方法 - harrylin's blog
本系列是按照bilibili上刘永成博士的分享课的论文笔记,主要针对点云基于图论的处理方法。这一部分主要讲解的方法包括:DGCNN、RGCNN、Spectral Graph Convolution、DeepGCNs
PointNet系列方法 - harrylin's blog
https://harrylin-hyl.github.io/2020/02/04/PointNet%E7%B3%BB%E5%88%97/
PointNet系列处理点云的方法:PointNet、PointNet++、Frustum-PointNet和FlowNet3D
3D物体检测(一) - harrylin's blog
https://harrylin-hyl.github.io/2020/02/21/3D%E7%89%A9%E4%BD%93%E6%A3%80%E6%B5%8B(%E4%B8%80)/
总结一下在bilibili上看到的基于点云场景的三维物体检测算法及应用,有兴趣的也可以去看看这个视频。这一部分主要总结一下,结合雷达点云数据和相机采集的二维图像数据的方法。主要包括: MV3D-Net、F-PointNet、MMF
3D物体检测(二) - harrylin's blog
https://harrylin-hyl.github.io/2020/02/22/3D%E7%89%A9%E4%BD%93%E6%A3%80%E6%B5%8B(%E4%BA%8C)/
总结一下在bilibili上看到的基于点云场景的三维物体检测算法及应用,是香港中文大学博士生所作报告有兴趣的也可以去看看这个视频。这一部分主要总结一下报告主要的三个论文:PointRCNN、Part-A^2、PV-RCNN
为自定义博客添加评论功能 - Hexo
点云基于图论的处理方法(一) - harrylin's blog
本系列是按照bilibili上刘永成博士的分享课的论文笔记,主要针对点云基于图论的处理方法。这一部分主要讲解的方法包括:DGCNN
test
test!
为自定义博客添加评论功能 - Hexo
语义分割中的损失 - harrylin's blog
为自定义博客添加评论功能 - Hexo
点云规则化处理(二) - harrylin's blog
本系列是按照bilibili上刘永成博士的分享课的论文笔记,主要针对点云的规则化处理。对于一些有新颖的方法会讲得详细一些。继续讲一些经典的点云的规则化处理的方法。包括:PointSift、SO-Net、Pointwise CNN、Kd-Net和FCPN
点云规则化处理(一) - harrylin's blog
经典的一些针对点云的规则化处理的方法。包括:VoxelNet、SPLATNet和PointCNN
点云采样 - Hexo
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