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检索条件"机构=Intelligent Robotics and Computer Vision Group/Department of Computer Science and Mathematics"
284 条 记 录,以下是251-260 订阅
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Predicting grasp inertia with a geometric model
Predicting grasp inertia with a geometric model
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2005 Australian Conference on robotics and Automation, ACRA 2005
作者: Kowadlo, Gideon Friedman, Jason Flash, Tamar Intelligent Robotics Research Centre Monash University Clayton VIC Australia Department of Applied Mathematics and Computer Science Weizmann Institute of Science Rehovot Israel
Controlling fnger impedance is critical for successful grasping. Understanding how humans achieve this is of great interest for learning about human motor control, as well as for applications in robotic grasping. Ther... 详细信息
来源: 评论
Automatic classification of breast density
Automatic classification of breast density
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IEEE International Conference on Image Processing
作者: A. Oliver J. Freixenet R. Zwiggelaar Computer Vision and Robotics Group University of Girona Girona Spain Department of Computer Science University of Wales Aberystwyth UK
A recent trend in digital mammography is computer-aided diagnosis systems, which are computerised tools designed to assist radiologists. Most of these systems are used for the automatic detection of abnormalities. How... 详细信息
来源: 评论
Using UPPAAL to model and verify a clock synchronization protocol for the controller area network
Using UPPAAL to model and verify a clock synchronization pro...
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International Conference on Emerging Technologies and Factory Automation (ETFA)
作者: G. Rodriguez-Navas J. Proenza H. Hansson Systems Robotics and Vision GroupDepartament de Matematiques i Informàtica Universitat de les Illes Balears Spain Department of Computer Science and Electronics MRTC Malardalen University Sweden
A reported liability of the controller area network protocol is that it does not provide a clock synchronization service. Therefore, whenever a CAN-based distributed embedded system requires its nodes to have a common... 详细信息
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Recognizing interaction from a robot's perspective
Recognizing interaction from a robot's perspective
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IEEE International Workshop on Robot and Human Communication (ROMAN)
作者: T. Salter F. Michaud K. Dautenhahn D. Letourneau S. Caron LABORIUS-Research Laboratory on Mobile Robotics and Intelligent Systems Department of Electrical Engineering and Computer Engineering Université de Sherbrook Sherbrooke QUE Canada Adaptive Systems Research Group School of Computer Science University of Herfordshire Hatfield UK
For meaningful interaction between a robot and a human, an autonomous robot must recognize whether the experienced situation is created by people or by the environment. Using only proprioceptive data from a mobile rob... 详细信息
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Detection of Sensor Faults in Autonomous Helicopters
Detection of Sensor Faults in Autonomous Helicopters
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IEEE International Conference on robotics and Automation (ICRA)
作者: G. Heredia A. Ollero R. Mahtani M. Bejar V. Remuss M. Musial Robotics Computer Vision and Intelligent Control Group Department Ingeniería de Sistemas y Automática University of Seville Seville Spain Institut für Technische Informatik und Mikroelektronik(TIME) Technical University Berlin Berlin Germany
This paper presents a sensor fault detection and diagnosis system for autonomous helicopters. The system has been tested with the MARVIN autonomous helicopter. Fault detection is accomplished by evaluating any signifi... 详细信息
来源: 评论
Automatic classification of breast tissue according BIRADS categories using a clustering approach
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International Congress Series 2005年 1281卷 1399-1399页
作者: A. Oliver J. Martí J. Freixenet J. Pont R. Zwiggelaar Computer Vision and Robotics Group University of Girona Spain University Hospital Doctor Josep Trueta Girona Spain Department of Computer Science University of Aberystwyth UK
来源: 评论
Multi-view face detection based on real Adaboost algorithm
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Jisuanji Yanjiu yu Fazhan/computer Research and Development 2005年 第9期42卷 1612-1621页
作者: Wu, Bo Huang, Chang Ai, Haizhou Lao, Shihong State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing 100084 China Sensing Technology Laboratory Vision Sensing Technology Group Omron Corporation Kyoto 619-0283 Japan
In this paper, a multi-view face detection method based on real Adaboost algorithm is presented. Human faces are divided into several viewpoint categories according to their poses in 3D, and for each of these categori... 详细信息
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3D simultaneous localization and modeling from stereo vision
3D simultaneous localization and modeling from stereo vision
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IEEE International Conference on robotics and Automation (ICRA)
作者: M.A. Garcia A. Solanas Intelligent Robotics and Computer Vision Group /Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain
This work presents a new algorithm for determining the trajectory of a mobile robot and, simultaneously, creating a detailed volumetric 3D model of its workspace. The algorithm exclusively utilizes information provide... 详细信息
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Coordinated multi-robot exploration through unsupervised clustering of unknown space
Coordinated multi-robot exploration through unsupervised clu...
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IEEE International Workshop on intelligent Robots and Systems (IROS)
作者: A. Solanas M.A. Garcia Intelligent Robotics and Computer Vision Group/Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain
This paper proposes a new coordination algorithm for efficiently exploring an unknown environment with a team of mobile robots. The proposed technique subsequently applies a well-known unsupervised clustering algorith... 详细信息
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Pixel-based texture classification by integration of multiple texture feature evaluation windows
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1st Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2003
作者: Puig, Domènec García, Miguel Angel Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Av. Països Catalans 26 Tarragona43007 Spain
A wide variety of texture feature extraction methods have been proposed for texture based image classification and segmentation. These methods are typically evaluated over windows of the same size, the latter being us... 详细信息
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