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检索条件"机构=Computer Vision and Robotics Research lab"
59 条 记 录,以下是21-30 订阅
排序:
MULTI-CAMERA POSITIONING FOR AUTOMATED TRACKING SYSTEMS IN DYNAMIC ENVIRONMENTS
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International Journal of Information Acquisition 2010年 第3期7卷 225-242页
作者: YI YAO CHUNG-HAO CHEN BESMA ABIDI DAVID PAGE ANDREAS KOSCHAN MONGI ABIDI Visualization and Computer Vision Lab GE Global Research USA Department of Mathematics and Computer Science North Carolina Central University USA Imaging Robotics and Intelligent Systems Lab University of Tennessee Knoxville USA
Most existing camera placement algorithms focus on coverage and/or visibility analysis, which ensures that the object of interest is visible in the camera's field of view (FOV). According to recent literature, han... 详细信息
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Enhancement for face video from omni-directional video camera
Enhancement for face video from omni-directional video camer...
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Asilomar Conference on Signals, Systems & computers
作者: Junwen Wu M.M. Trivedi Computer Vision and Robotics Research lab ECE Department University of California San Diego La Jolla CA USA
In this paper we propose a novel algorithm to enhance the face video from omni-directional video camera. A two-stage strategy is used. First stage is the noise elimination, realized by iterative MAP update. Naive Baye... 详细信息
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On the complexity of computing equilibria for nonsymmetric analog networks
On the complexity of computing equilibria for nonsymmetric a...
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International Joint Conference on Neural Networks (IJCNN)
作者: D.A. Miller S.W. Sucker Computer Vision and Robotics Laboratory Research Center of Intelligent Machines McGill University Montreal Canada Comput. Vision & Robotics Lab. McGill Univ. Montreal Que. Canada
The authors ask what is the complexity of computing equilibria for physically realizable analog networks like those of J.J. Hopfield (1984) and T.J. Sejnowski (1981) with arbitrary connectivity. It is shown that, if t... 详细信息
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Global Localization: Utilizing Relative Spatio-Temporal Geometric Constraints from Adjacent and Distant Cameras
arXiv
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arXiv 2023年
作者: Altillawi, Mohammad Pataki, Zador Li, Shile Liu, Ziyuan AI Robotics & Simulation Huawei Munich Research Center Germany Computer Vision Center Universitat Autònoma de Barcelona Spain Computer Vision and Geometry Lab ETH Zurich Switzerland
Re-localizing a camera from a single image in a previously mapped area is vital for many computer vision applications in robotics and augmented/virtual reality. In this work, we address the problem of estimating the 6... 详细信息
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Mobile robot localization using panoramic vision and combinations of feature region detectors
Mobile robot localization using panoramic vision and combina...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Arnau Ramisa Adriana Tapus Ramon Lopez de Mantaras Ricardo Toledo Artificial Intelligence Research Institute Spain Robotics Research Lab Interaction Lab Department of Computer Science University of Southern California Los Angeles USA UAB Campus Computer Vision Center Spain
This paper presents a vision-based approach for mobile robot localization. The environmental model is topological. The new approach uses a constellation of different types of affine covariant regions to characterize a... 详细信息
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Moving object detection for visual odometry in a dynamic environment based on occlusion accumulation
Moving object detection for visual odometry in a dynamic env...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Haram Kim Pyojin Kim H. Jin Kim Lab for Autonomous Robotics Research (LARR) Seoul National University Seoul South Korea Computer Graphics and Vision Lab (GrUVi) Simon Fraser University Burnaby BC
Detection of moving objects is an essential capability in dealing with dynamic environments. Most moving object detection algorithms have been designed for color images without depth. For robotic navigation where real... 详细信息
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Robotic Approach Trajectory Using Reinforcement Learning with Dual Quaternions
Robotic Approach Trajectory Using Reinforcement Learning wit...
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Iberian robotics Conference (ROBOT)
作者: Daniel Frau-Alfaro Santiago T. Puente Ignacio De Loyola Páez-Ubieta Edison Velasco-Sánchez AUtomatics RObotics and Artificial Vision Lab University Institute for Computer Research San Vicente Spain University Institute for Engineering Research University Miguel Hernández Elche Spain
Manipulation tasks in robotics usually involve two phases: an approach to the object and the grasp itself. The first action allows the robot to reach a certain pose in space that is likely to allow the object to be ma... 详细信息
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PIPAL: A Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration  16th
PIPAL: A Large-Scale Image Quality Assessment Dataset for Pe...
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16th European Conference on computer vision, ECCV 2020
作者: Jinjin, Gu Haoming, Cai Haoyu, Chen Xiaoxing, Ye Ren, Jimmy S. Chao, Dong The School of Data Science The Chinese University of Hong Kong Shenzhen China ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China SenseTime Research Science Park Hong Kong SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China
Image quality assessment (IQA) is the key factor for the fast development of image restoration (IR) algorithms. The most recent IR methods based on Generative Adversarial Networks (GANs) have achieved significant impr... 详细信息
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OPTIHROV: Optically Linked Hybrid Autonomous/Remotely Operated Vehicle, Beyond Teleoperation in a New Generation of Underwater Intervention Vehicles
OPTIHROV: Optically Linked Hybrid Autonomous/Remotely Operat...
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OCEANS
作者: Roger Pi Joan Esteba Patryk Cieslak Narcís Palomeras Pedro J. Sanz Raúl Marín Pere Ridao Computer Vision and Robotics Research Institute (VICOROB) Universitat de Girona Girona Interactive and Robotic Systems Lab (IRS-Lab) Universitat Jaume I Castelló de la Plana
OPTIHROV is a proof-of-concept project to demonstrate a telerobotic system, based on an untethered, OPTIcally-connected, Hybrid Autonomous-ROV, that aims to replace light intervention ROVs operating at close range to ...
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IEEE Transactions on Haptics: Editorial
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IEEE Transactions on Haptics 2008年 第1期1卷 2-8页
作者: Edward Colgate, J. Lederman, Susan Prattichizzo, Domenico Barbagli, Federico Basdogan, Cagatay Buss, Martin Ernst, Marc Frisoli, Antonio Gillespie, Brent Grant, Danny Harders, Matthias Hayward, Vincent Jones, Lynette Kajimoto, Hiroyuki Kappers, Astrid Kheddar, Abderrahmane Lin, Ming C. MacLean, Karon Miller, Brian Noma, Haruo Okamura, Allison M. O'Malley, Mareia Ryu, Jeha Tan, Hong Z. Yokokohji, Yasuyoshi Department of Psychology School of Computing Queen's University Canada IEEE Robotics and Automation Society Tübingen Germany Stanford University's Computer Science Department Tübingen Germany Institute of Automatic Control Engineering Technische Universität München Germany Independent Research Group Multisensory Perception and Action Max Planck Institute for Biological Cybernetics Tübingen Germany Department of Applied Mechanics SSSA Japan Research Division Virtual Reality and Telerobotic Systems PERCRO Laboratory Japan Department of Mechanical Engineering Japan Department of Robotics McGill University Canada Computer Vision Lab ETH Zurich Japan Virtual Reality in Medicine Group Japan IEEE CS/RAS Technical Committee on Haptics Japan Department of Electrical and Computer Engineering McGill University Canada Department of Mechanical Engineering MIT Japan University of Electro-Communications Japan Department of Physics and Astronomy Utrecht University Netherlands University of Evry France Chapel Hill United States Department of Computer Science University of British Columbia Canada ATR Knowledge Science Lab United Kingdom Department of Mechanical Engineering Denmark Johns Hopkins University United States Laboratory for Computational Sensing and Robotics United Kingdom Engineering Research Center for Computer-Integrated Surgical Systems and Technology United States Mechanical Engineering and Materials Science Department Rice University United States Korea Republic of Department of Electrical and Computer Engineering Mechanical Engineering and Psychological Sciences Purdue University United States Department of Mechanical Engineering and Science Graduate School of Engineering Kyoto University Japan
No abstract available
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