「Oakland 3D Point Cloud Dataset」 发布方:Carnegie Mellon University—The Robotics Institute 发布时间:2009年 下载地址: http://www.cs.cmu.edu/~vmr/datasets/oakland_3d/cvpr09/doc/ 适用任务:classificationx 简介:这个数据库的采集地点是在美国卡耐基梅隆大学周围,数据采集使用Navlab11,配备侧视SICK LMS激光...
The 10 categories include:bathtub,bed,chair,desk,dresser,monitor,night_stand,sofa,table,toilet. Dataset performance Repos below use our datasets: antao97/UnsupervisedPointCloudReconstruction coming soon ... Releases No releases published Languages Python100.0%...
CODA: CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving [arXiv 2203] STPLS3D: STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset [arXiv 2203] TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes [arXiv...
LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes 文章解读:http://www.studyai.com/xueshu/paper/detail/d9f22aef09 文章链接:(https://openaccess.thecvf.com/content/CVPR2024/html/Guo_LiDAR-Net_A_Real-scanned_3D_Point_Cloud_Dataset_for_Indoor_Scenes_CVPR_2024_paper.html)...
ModelNet 3D point cloud dataset 1. OverviewWith a total of 662 target classifications, 127,915 CAD models, and 10 classes of labeled directional data, the ModelNet dataset is designed to provide a comprehensive 3D model of objects for researchers in computer vision, computer graphics, robotics,...
6. Oakland 3-D Point Cloud Dataset(奥克兰 ) 这个数据库的采集地点是在美国卡耐基梅隆大学周围,数据采集使用Navlab11,配备侧视SICK LMS激光扫描仪,用于推扫。其中包含了完整数据集、测试集、训练集和验证集。 链接: http://www.cs.cmu.edu/~vmr/datasets/oakland_3d/cvpr09/doc/ ...
Oakland 3-D Point Cloud Dataset(奥克兰 )(地面) 斯坦福计算机视觉和几何实验室数据集 SUN3D 推荐阅读的论文或基础网络 参考文献 基本数据结构 abcd分别是: 点云(point cloud):(x,y,z) , (x,y,z,d), (x,y,z,r,g,b) 图a. 体素(Voxel): 体素是3D空间的像素(pixel)。量化的,大小固定的点云。每...
6. Oakland 3-D Point Cloud Dataset(奥克兰 ) 这个数据库的采集地点是在美国卡耐基梅隆大学周围,数据采集使用Navlab11,配备侧视SICK LMS激光扫描仪,用于推扫。其中包含了完整数据集、测试集、训练集和验证集。 链接:http://www.cs.cmu.edu/~vmr/datasets/oakland_3d/cvpr09/doc/ ...
Large-Scale Point Cloud Classification Benchmark, which provides a large labelled 3D point cloud data set of natural scenes with over 4 billion points in total, and also covers a range of diverse urban scenes. Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling [Link] 3D-...
最后,通过对实例嵌入应用简单的mean-shift聚类来生成实例预测。本文在large-scale 3D indoor point cloud dataset 、S3DIS 和ShapeNet数据集上评估提出的JSNET,并与现有的方法进行比较。实验结果表明,该方法达到了SOTA。JSNET在三维实例分割中,对三维语义预测有了显著的改进,也有利于零件分割。