Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation [seg; GitHub] Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation [seg; PyTorch] PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning [pre-training; Github] Take...
In this paper we present some extensions to the k-means algorithm for vector quantization that permit its efficient use in image segmentation and patter... Marroquin, J. L,Girosi, F - 《Technical Report Mit Artificial Intelligence Laboratory》 被引量: 140发表: 1993年 3D point cloud segmentatio...
A function to represent a point cloud by means of the codebook A function vor vector quantization A function for the histogram comparison that calculates the distance of a given gistogram to all the histograms of the model representations and writes them into the "Result.txt" file. ...
Reduced point cloud L min > D mi n Y Y Y Y F T N N N N 光电工程 2013 年8 月 ht t p: / / . gdgc. ac. cn 62 3 应用实例及结果分析 为了验证有效性,算法在VC++中实现。试验中首先用MATLAB 模拟产生两个三维物体点云,分别为 单面和闭合的点云数据。点云数据量分别为9 万...
The captured 3D point clouds by depth cameras and 3D scanners are often corrupted by noise, so point cloud denoising is typically required for downstream applications. We observe that: (i) the scale of the local neighborhood has a significant effect on the denoising performance against different ...
Klein (2006) Octree-based point-cloud compression. In M. Botsch and B. Chen, editors, J. Y. Sim, S. U. Lee (2008) Compression of 3-D point visual data using vector quantization and rate-distortion optimization. :305–315.CrossRefG. Taubin, J. Rossignac (1998) Geometric compression ...
point cloud represents a 2Dsurface (as opposed to a 3Dscat- ter plot, for instance). 2. Related Work Compression: We restrict our discussion to point cloud compression. A good overview of recent mesh compres- sion techniques is given by Alliez and Gotsman [AG05]. In ...
POINT CLOUD ATTRIBUTE COMPRESSION WITH GRAPH TRANSFORM Cha Zhang, Dinei Floreˆncio and Charles Loop Microsoft Research One Microsoft Way, Redmond, WA 98075 ABSTRACT Compressing attributes on 3D point clouds such as colors or nor- mal directions has been a challenging problem, since these ...
Each point in the point cloud contains rich information, such as: three-dimensional coordinates (x, y, z), color information (r, g, b) and surface normal vector, etc. Mesh: 3D data can also be represented by a mesh grid, which can be viewed as a collection of points that build ...
PointCloudLayer RouteLayer SceneLayer StreamLayer SubtypeGroupLayer TileLayer UnknownLayer UnsupportedLayer VectorTileLayer VideoLayer ViewshedLayer VoxelLayer WCSLayer WebTileLayer WFSLayer WMSLayer WMTSLayer buildingSublayers BuildingComponentSublayer BuildingGroupSublayer BuildingSublayer catalog CatalogDynamicGroup...