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视觉与机器人

3D 视觉

三维重建、NeRF、Gaussian Splatting、点云和空间智能。

共收录 7719 信号源:cs.CV, cs.GR, cs.RO

1. 点云 7719 篇

1804.02085 2018-04-09 cs.CV cs.RO 62%

Performance Evaluation of 3D Correspondence Grouping Algorithms

Jiaqi Yang, Ke Xian, Yang Xiao, Zhiguo Cao

专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO

Comments Accepted to 3DV 2017, (Spotlight)

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1703.01661 2018-03-13 cs.RO cs.CV 62%

SegICP: Integrated Deep Semantic Segmentation and Pose Estimation

Jay M. Wong, Vincent Kee, Tiffany Le, Syler Wagner, Gian-Luca Mariottini, Abraham Schneider, Lei Hamilton, Rahul Chipalkatty, Mitchell Hebert, David M. S. Johnson, Jimmy Wu, Bolei Zhou, Antonio Torralba

专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO

Comments IROS camera-ready

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1712.08409 2018-01-31 cs.RO cs.CV 62%

Detection and Tracking of General Movable Objects in Large 3D Maps

Nils Bore, Johan Ekekrantz, Patric Jensfelt, John Folkesson

专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO

Comments Submitted for peer review

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1711.05864 2017-11-17 cs.CV cs.RO 62%

Hidden Markov Random Field Iterative Closest Point

John Stechschulte, Christoffer Heckman

专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO

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1708.05514 2017-08-21 cs.CV cs.RO 62%

Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard

Weimin Wang, Ken Sakurada, Nobuo Kawaguchi

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)

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1609.03947 2017-07-27 cs.CV cs.RO 62%

Associating Grasp Configurations with Hierarchical Features in Convolutional Neural Networks

Li Yang Ku, Erik Learned-Miller, Rod Grupen

专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO

Comments 8 pages, 9 figures, IROS 2017

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1706.05340 2017-06-19 cs.RO cs.CV 62%

Robotic Ironing with 3D Perception and Force/Torque Feedback in Household Environments

David Estevez, Juan G. Victores, Raul Fernandez-Fernandez, Carlos Balaguer

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

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1705.09785 2017-05-30 cs.RO cs.CV 62%

LiDAR-Camera Calibration using 3D-3D Point correspondences

Ankit Dhall, Kunal Chelani, Vishnu Radhakrishnan, K. M. Krishna

专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO

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1606.02378 2017-04-03 cs.LG cs.AI cs.CV cs.RO 62%

SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks

Arunkumar Byravan, Dieter Fox

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

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1703.04665 2017-03-16 cs.RO cs.CV 62%

Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop Objects

Alexander Broad, Brenna Argall

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

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1603.02617 2017-01-10 cs.CV cs.RO 62%

Iterative Hough Forest with Histogram of Control Points for 6 DoF Object Registration from Depth Images

Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim

专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO

Comments IROS 2016

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1610.01326 2016-10-06 cs.RO cs.CV 62%

Mobility Map Computations for Autonomous Navigation using an RGBD Sensor

Nicolò Genesio, Tariq Abuhashim, Fabio Solari, Manuela Chessa, Lorenzo Natale

专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO

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1609.07826 2016-09-27 cs.CV cs.RO 62%

Multiview RGB-D Dataset for Object Instance Detection

Georgios Georgakis, Md Alimoor Reza, Arsalan Mousavian, Phi-Hung Le, Jana Kosecka

专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO

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1412.1219 2014-12-04 cs.RO cs.CV 62%

Colorisation et texturation temps réel d'environnements urbains par système mobile avec scanner laser et caméra fish-eye

Jean-Emmanuel Deschaud, Xavier Brun, François Goulette

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

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1404.5765 2014-04-24 cs.CV cs.RO 62%

Find my mug: Efficient object search with a mobile robot using semantic segmentation

Daniel Wolf, Markus Bajones, Johann Prankl, Markus Vincze

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)

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1311.7295 2013-12-02 cs.RO cs.CV 62%

Glasgow's Stereo Image Database of Garments

Gerardo Aragon-Camarasa, Susanne B. Oehler, Yuan Liu, Sun Li, Paul Cockshott, J. Paul Siebert

专题命中 点云 :point cloud(abstract);分类 cs.CV、cs.RO

Comments 7 pages, 6 figure, image database

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1212.6837 2013-01-01 cs.RO cs.AI cs.CV 62%

Autonomously Learning to Visually Detect Where Manipulation Will Succeed

Hai Nguyen, Charles C. Kemp

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"

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1106.4632 2011-06-24 cs.RO cs.AI cs.CV 62%

Inferring 3D Articulated Models for Box Packaging Robot

Heran Yang, Tiffany Low, Matthew Cong, Ashutosh Saxena

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

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2603.03892 2026-07-16 cs.CV cs.AI 版本更新 61%

A novel network for classification of cuneiform tablet metadata

一种用于楔形文字泥板元数据分类的新型网络

Frederik Hagelskjær

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

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2606.18429 2026-06-23 cs.CV cs.AI cs.LG 新提交 61%

CAOA -- Completion-Assisted Object-CAD Alignment

CAOA -- 补全辅助的物体-CAD对齐

Hiranya Garbha Kumar, Minhas Kamal, Balakrishnan Prabhakaran

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

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2606.11578 2026-06-11 cs.CV 新提交 61%

Contactless 3D Human Body Measurement Using Depth Cameras for Smart Health Monitoring

基于深度相机的非接触式3D人体测量用于智能健康监测

Martha Asare, Xuan Wang, Juan Lopez Alvarenga, Lois Akosua Serwaa, Jinghao Yang

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

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2606.10594 2026-06-10 cs.CV 新提交 61%

Segment and Select: Vision-Language Segmentation in 3D Scenarios

Segment and Select: 3D场景中的视觉-语言分割

Yulin Chen, Zhihang Zhong, Yuenan Hou

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)

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2602.04343 2026-06-02 cs.CV 61%

Finding NeMO: A Geometry-Aware Representation of Template Views for Few-Shot Perception

寻找NeMO:面向少样本感知的模板视图几何感知表示

Sebastian Jung, Leonard Klüpfel, Rudolph Triebel, Maximilian Durner

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

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2311.14262 2025-02-24 cs.CV 61%

ZeroPS: High-quality Cross-modal Knowledge Transfer for Zero-Shot 3D Part Segmentation

Yuheng Xue, Nenglun Chen, Jun Liu, Wenyun Sun

专题命中 点云 :point cloud(abstract);分类 cs.CV;3D vision(comments)

Comments 2025 International Conference on 3D Vision (3DV)

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2310.11284 2023-10-18 cs.CV 61%

Self-Supervised 3D Scene Flow Estimation and Motion Prediction using Local Rigidity Prior

Ruibo Li, Chi Zhang, Zhe Wang, Chunhua Shen, Guosheng Lin

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)

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2302.02125 2023-04-26 eess.IV cs.CV cs.LG 61%

Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity

Hao Du, Qihua Dong, Yan Xu, Jing Liao

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

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2204.08084 2022-04-28 cs.CV 61%

Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network

Yuhang He, Lin Chen, Junkun Xie, Long Chen

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

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2103.02263 2021-03-04 cs.CV 61%

LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment

Fabian Duerr, Mario Pfaller, Hendrik Weigel, Juergen Beyerer

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

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2010.09185 2020-10-20 cs.CV cs.AI 61%

MaskNet: A Fully-Convolutional Network to Estimate Inlier Points

Vinit Sarode, Animesh Dhagat, Rangaprasad Arun Srivatsan, Nicolas Zevallos, Simon Lucey, Howie Choset

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)

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1908.03851 2019-08-13 cs.CV 61%

IoU Loss for 2D/3D Object Detection

Dingfu Zhou, Jin Fang, Xibin Song, Chenye Guan, Junbo Yin, Yuchao Dai, Ruigang Yang

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

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