Performance Evaluation of 3D Correspondence Grouping Algorithms
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments Accepted to 3DV 2017, (Spotlight)
视觉与机器人
三维重建、NeRF、Gaussian Splatting、点云和空间智能。
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments Accepted to 3DV 2017, (Spotlight)
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments IROS camera-ready
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments Submitted for peer review
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments 20 pages, submitted to the journal of Remote Sensing
Journal ref Remote Sensing, 9(8):851 (2017)
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments 8 pages, 9 figures, IROS 2017
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments Accepted and to be published on the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017) that will be held in Vancouver, Canada, September 24-28, 2017
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments 8 pages. To appear at the IEEE International Conference on Robotics and Automation (ICRA), 2017. V2 Update: Final version submitted to ICRA with experiments testing the robustness of the system to noise and preliminary results on real world data
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments Update based on work presented at RSS 2016 Deep Learning Workshop
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments IROS 2016
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments in French
Journal ref Revue Francaise de Photogrammetrie et de Teledetection, Revue Francaise de Photogrammetrie et de Teledetection, 2010, pp.29-37
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments Part of the OAGM 2014 proceedings (arXiv:1404.3538)
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments 7 pages, 6 figure, image database
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments 15 pages, 10 figures. Submitted to the Autonomous Robots Journal Special Issue "Beyond Grasping - Modern Approaches for Dexterous Manipulation"
专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO
Comments For: RSS 2011 Workshop on Mobile Manipulation: Learning to Manipulate
一种用于楔形文字泥板元数据分类的新型网络
机构 * SDU Robotics, University of Southern Denmark(丹麦南部大学机器人研究所)
专题命中 点云 :point cloud(abstract,comments);分类 cs.CV
AI总结 本文提出了一种新型网络,通过缩小点云并整合局部和全局信息,有效提升楔形文字泥板元数据分类性能。
Comments Point cloud, deep learning, cuneiform
CAOA -- 补全辅助的物体-CAD对齐
机构 * University at Albany(奥尔巴尼大学)
专题命中 点云 :point cloud(abstract);分类 cs.CV;3D vision(journal_ref)
AI总结 提出CAOA方法,结合语义感知点云补全和对称感知相对位姿估计,在Scan2CAD上实现17%精度提升,并发布S2C-Completion数据集。
Comments GitHub: https://github.com/MinhasKamal/CAOA
Journal ref Thirteenth International Conference on 3D Vision (3DV), 2026
基于深度相机的非接触式3D人体测量用于智能健康监测
机构 * Department of Computer(计算机系) ; Department of Information(信息系) ; Department of Human Genetics(人类遗传学系) ; University of Texas Rio Grande Valley(德克萨斯大学里奥格兰德谷分校) ; Department of Electrical and Computer Engineering(电气与计算机工程系)
专题命中 点云 :point cloud(abstract,comments);分类 cs.CV
AI总结 提出一种基于深度相机和3D点云的非接触式人体测量框架,通过空间滤波、地标选择及体素/网格分析实现身高、臂展、体积和表面积等关键指标的准确估计。
Comments 6 pages, 4 figures. Depth camera-based framework for contactless anthropometric measurement and geometric analysis using 3D point clouds
Segment and Select: 3D场景中的视觉-语言分割
机构 * Shanghai AI Laboratory(上海人工智能实验室) ; University of Science and Technology of China(中国科学技术大学) ; Shanghai Jiaotong University(上海交通大学)
专题命中 点云 :3D vision(abstract,comments);分类 cs.CV
AI总结 提出SEGA3D范式,通过掩码候选生成器、大语言模型和语义空间选择器实现3D场景中基于语言指令的细粒度分割,在ScanNet和Matterport3D上分别提升8.3和5.3 mIoU。
Comments The core idea is to reformulate 3D vision-language segmentation as the segment-and-select paradigm (free from the superpoint dependency)
寻找NeMO:面向少样本感知的模板视图几何感知表示
机构 * German Aerospace Center (DLR)(德国航空航天中心(DLR))
专题命中 点云 :point cloud(abstract);分类 cs.CV;3D vision(journal_ref)
AI总结 提出NeMO(神经记忆对象)表示,通过少量RGB模板视图编码生成稀疏点云,实现未见对象的检测、分割和6DoF姿态估计,无需重训练。
Comments 17 pages including supplement, published in 3DV 2026, Project website: https://sebastian-jung.github.io/nemo/
Journal ref Proceedings of the International Conference on 3D Vision (3DV), 2026
专题命中 点云 :point cloud(abstract);分类 cs.CV;3D vision(comments)
Comments 2025 International Conference on 3D Vision (3DV)
专题命中 点云 :point cloud(abstract,comments);分类 cs.CV
Comments An extension of our CVPR 2022 paper (RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior)
专题命中 点云 :point cloud(abstract,comments);分类 cs.CV
Comments Weakly-supervised Segmentation, Medical Image Segmentation, Contrastive Similarity, Geometric Prior, Point Cloud
Journal ref IEEE Trans. Med. Imaging, Early Access, pp. 1-1, April 24, 2023
专题命中 点云 :point cloud(abstract,comments);分类 cs.CV
Comments 3D Point Cloud Semantic Segmentation, Semantic Aggregation from Images, Pose Noise
专题命中 点云 :point cloud(abstract);分类 cs.CV;3D vision(journal_ref)
Journal ref International Conference on 3D Vision (3DV), pages 781-790, 2020
专题命中 点云 :point cloud(abstract);分类 cs.CV;3D vision(comments)
Comments Accepted at International Conference on 3D Vision (3DV, 2020)
专题命中 点云 :point cloud(abstract);分类 cs.CV;3D vision(comments)
Comments Accepted by international conference on 3d vision 2019