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检索条件"机构=Intelligent Robotics and Computer Vision Group/Department of Computer Science and Mathematics"
293 条 记 录,以下是51-60 订阅
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A 3D local energy surface detector for confocal microscope imalges  3
A 3D local energy surface detector for confocal microscope i...
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3rd Australian and New Zealand Conference on intelligent Information Systems, ANZIIS 1995
作者: Pudney, Chris Kovesi, Peter Robbins, Ben Biomedical Confocal Microscopy Research Centre Department of Pharmacology United States Robotics and Vision Research Group Department of Computer Science University of Western Australia NedlandsWA6907 Australia
The ability to detect features within confocal microscope images is important for the interpretation and analysis of such data. Most detectors are gradient-based, and so are sensitive to noise, and fail to accurately ... 详细信息
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Reducing the complexity of geometric selective disassembly
Reducing the complexity of geometric selective disassembly
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IEEE International Workshop on intelligent Robots and Systems (IROS)
作者: M.A. Garcia A. Larre B. Lopez A. Oller Department of Computer Science and Mathematics Intelligent Robotics and Computer Vision Group Tarragona Spain Department of Electrical Electronic and Automation Engineering Rovira i Virgili University Tarragona Spain
This paper presents an efficient technique for determining a low-cost disassembly sequence suitable to extract a subset of s components from an assembly containing n components, e of which are exterior (e/spl Lt/n). T... 详细信息
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On Adapting Pixel-based Classification to Unsupervised Texture Segmentation
On Adapting Pixel-based Classification to Unsupervised Textu...
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International Conference on Pattern Recognition
作者: Jaime Melendez Domenec Puig Miguel Angel Garcia Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain Department of Informatics Engineering Autonomous University of Madrid Madrid Spain
An inherent problem of unsupervised texture segmentation is the absence of previous knowledge regarding the texture patterns present in the images to be segmented. A new efficient methodology for unsupervised image se... 详细信息
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A new methodology for evaluation of edge detectors
A new methodology for evaluation of edge detectors
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IEEE International Conference on Image Processing
作者: Rodrigo Moreno Domenec Puig Carme Julià Miguel Angel Garcia Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain Department of Informatics Engineering Autonomous University of Madrid Madrid Spain
This paper defines a new methodology for evaluating edge detectors through measurements on edginess maps instead of on binary edge maps as previous methodologies do. These measurements avoid possible bias introduced b... 详细信息
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Robust color edge detection through tensor voting
Robust color edge detection through tensor voting
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IEEE International Conference on Image Processing
作者: Rodrigo Moreno Miguel Angel Garcia Domenec Puig Carme Julià Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain Department of Informatics Engineering Autonomous University of Madrid Madrid Spain
This paper presents a new method for color edge detection based on the tensor voting framework, a robust perceptual grouping technique used to extract salient information from noisy data. The tensor voting framework i... 详细信息
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Robust Color Image Segmentation through Tensor Voting
Robust Color Image Segmentation through Tensor Voting
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International Conference on Pattern Recognition
作者: Rodrigo Moreno Miguel Angel Garcia Domenec Puig Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain Department of Informatics Engineering Autonomous University of Madrid Madrid Spain
This paper presents a new method for robust color image segmentation based on tensor voting, a robust perceptual grouping technique used to extract salient information from noisy data. First, an adaptation of tensor v... 详细信息
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Heterogeneous sensor fusion framework for autonomous mobile robot obstacle avoidance
Heterogeneous sensor fusion framework for autonomous mobile ...
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2010 10th International Conference on intelligent Systems Design and Applications, ISDA'10
作者: Zia, Ali Gulrez, Tauseef Chaudhry, Tayyab Intelligent Machines and Robotics Research Group Department of Computer Science COMSATS Institute of Information Technology Lahore M. A. Jinnah Campus Defence Road Lahore Pakistan
This paper addresses the problem of moving obstacle detection for autonomous mobile robots in unknown urban environments through the fusion of (vehicle-mounted) forward looking laser and vision sensors. In this approa... 详细信息
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Source Camera Device Identification from Videos
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SN computer science 2022年 第4期3卷 316页
作者: Bennabhaktula, Guru Swaroop Timmerman, Derrick Alegre, Enrique Azzopardi, George Information Systems Group at the Bernoulli Institute for Mathematics Computer Science and Artificial Intelligence University of Groningen Groningen Netherlands Group for Vision and Intelligent Systems at the Department of Electrical Systems and Automation University of León León Spain Researcher at INCIBE (Spanish National Cybersecurity Institute) León Spain
Source camera identification is an important and challenging problem in digital image forensics. The clues of the device used to capture the digital media are very useful for Law Enforcement Agencies (LEAs), especiall... 详细信息
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Rapid shallow coastal coral reef mapping using the teardrop system
Rapid shallow coastal coral reef mapping using the teardrop ...
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OCEANS 2012 MTS/IEEE Hampton Roads Conference: Harnessing the Power of the Ocean
作者: Corpuz, Francis James Naval Jr., Prospero Capili, Eusebio Jauod, Jaylord Judilla, Roel John Soriano, Maricor Vision and Image Processing Group National Institute of Physics University of the Philippines Diliman Quezon City Philippines Computer Vision and Machine Intelligence Group Department of Computer Science University of the Philippines Diliman Quezon City Philippines Mapua Robotics Center Institutional Laboratory Mgmt Office Mapua Institute of Technology Intramuros Manila Philippines
We present a rapid shallow coastal reef mapping system using a previously developed inexpensive diver less video capture system coupled with a fast-image mosaicking technique, using an affordable GPS logging device. T... 详细信息
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Breast masses identification through pixel-based texture classification
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12th International Workshop on Breast Imaging, IWDM 2014
作者: Torrents-Barrena, Jordina Puig, Domenec Ferre, Maria Melendez, Jaime Diez-Presa, Lorena Arenas, Meritxell Martí, Joan Department of Computer Engineering and Mathematics University Rovira I Virgili Spain Department of Radiology Radboud University Medical Center Netherlands Radiotherapic Oncology Research Group Hospital Universitari Sant Joan de Reus Spain Computer Vision and Robotics Research Institute University of Girona Spain
Mammographic image analysis plays an important role in computer-aided breast cancer diagnosis. To improve the existing knowledge, this paper proposes a new efficient pixel-based methodology for tumor vs non-tumor clas... 详细信息
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