· 项目主页:pointcloud-c.github.io/ ·开源代码:github.com/ldkong1205/P 一句话总结 首个用于评测点云识别模型鲁棒性的基线,包括ModelNet-C和ShapeNet-C两个子集;贴近真实世界的设计,涵盖物体(object)、传感器(sensor)和处理(processing)等阶段中的corruption情形;为基于监督学习、自监督预训练和数据增强等的点...
我们在ECCV 2022举办的PointCloud-C点云识别鲁棒性挑战赛旨在:(1)构建点云识别鲁棒性评测的新基准;(2)推动3D视觉社区对点云识别算法鲁棒性的关注。 我们相信,优秀的点云识别算法不仅能够在“干净”的数据集上取得高识别准确率,也能够在corruption数据集上展现出稳健的识别性能,从而提升算法在实际应用中的可行性与可...
PointCloud-C is the very first test-suite for point cloud robustness analysis under corruptions. Two sets: ModelNet-C for point cloud classification and ShapeNet-C for part segmentation. Real-world corruption sources, ranging from object-, senor-, and processing-levels. Seven types of corruptions...
A method of point cloud coding using homography transform sends the homography transform of the 3D patches, instead of the explicit projection values (such as bounding boxes and patch orientation, rotation). The method has a more compact notation, is more efficient in terms of transmission, and ...
http://bing.comLepard: Learning Partial Point Cloud Matching in Rigid and Deformable Scenes | CVPR 2022CVPR 2022论文列表及代码:https://github.com/gbstack/CVPR-2022-papers字幕版之后会放出,敬请持续关注欢迎加入人工智能机器学习群:55691094
商标名称 点云POINTCLOUD 国际分类 第12类-运输工具 商标状态 商标注册申请 申请/注册号 33107689 申请日期 2018-08-24 申请人名称(中文) 西安点云生物科技有限公司 申请人名称(英文) - 申请人地址(中文) 陕西省西安市高新区丈八五路2号现代企业中心东区1栋3层10301室 申请人地址(英文) - 初审公告期号 - ...
则Point Cloud={P1, P2, P3,…..Pn}表⽰⼀组点云数据。⼆：点云数据的获得 ⼤多数点云数据是由3D扫描设备产⽣的，例如激光雷达(2D/3D)，⽴体摄像头(stereo camera)，越渡时间相机(time-of-flight camera) 。这些设备⽤⾃动化的⽅式测量在物体表⾯的⼤量的点的信息，然后⽤某种数...
《Point Cloud GAN》C Li, M Zaheer, Y Zhang, B Poczos, R Salakhutdinov [CMU] (2018) http://t.cn/E4NSJB4 view:http://t.cn/E4NSJBb
This paper presents a novel technique for scanned point cloud de- noising which is effective and simple. We call it spheres combine method. This technique under the assumption that each acquired point p in point cloud is a sphere. The initial volume Vini of each sphere relates to the destiny...
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