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检索条件"机构=Intelligent Robotics and Computer Vision Group/Department of Computer Science and Mathematics"
289 条 记 录,以下是31-40 订阅
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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
来源: 评论
Improving texture pattern recognition by integration of multiple texture feature extraction methods
Improving texture pattern recognition by integration of mult...
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International Conference on Pattern Recognition
作者: M.A. Garcia D. Puig Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Tarragona Spain
This paper proposes a pixel-based texture classifier that integrates multiple texture feature extraction methods in order to identify the regions of an input image that belong to a given set of texture patterns. Exper... 详细信息
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Multi-modal visual attention for robotics active vision systems - A reference architecture
Multi-modal visual attention for robotics active vision syst...
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AISB 2011 Symposium on Architectures for Active vision
作者: Hülse, Martin McBride, Sebastian Lee, Mark Department of Computer Science Intelligent Robotics Group Aberywtwyth University SY23 3DB United Kingdom
This work introduces an architecture for a robotic active vision system equipped with a manipulator that is able to integrate visual and non-visual (tactile) sensorimotor experiences. Inspired by the human vision syst... 详细信息
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The logic of robotics inspired biology
The logic of robotics inspired biology
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International Symposium on AI Inspired Biology, AIIB 2010 - A Symposium at the AISB 2010 Convention
作者: Hülse, Martin Lee, Mark Intelligent Robotics Group Department of Computer Science Aberywtwyth University SY23 3DB United Kingdom
Biologically inspired robotics is a well known approach for the design of autonomous intelligent robot systems. Very often it is assumed that biologically inspired models successfully implemented on robots offer new s... 详细信息
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On adapting the tensor voting framework to robust color image denoising
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13th International Conference on computer Analysis of Images and Patterns, CAIP 2009
作者: Moreno, Rodrigo Garcia, Miguel Angel Puig, Domenec Julià, Carme Intelligent Robotics and Computer Vision Group Department of Computer Science and Mathematics Rovira i Virgili University Av. Països Catalans 26 Tarragona 43007 Spain Department of Informatics Engineering Autonomous University of Madrid Cra. Colmenar Viejo Km 15 Madrid 28049 Spain
This paper presents an adaptation of the tensor voting framework for color image denoising, while preserving edges. Tensors are used in order to encode the CIELAB color channels, the uniformity and the edginess of ima... 详细信息
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View-based 3-D object recognition using shock graphs
View-based 3-D object recognition using shock graphs
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作者: Macrini, Diego Shokoufandeh, Ali Dickinson, Sven Siddiqi, Kaleem Zucker, Steven Department of Computer Science University of Toronto Department of Mathematics and Computer Science Drexel University Centre for Intelligent Machines School of Computer Science McGill University Center for Computational Vision and Control Yale University
The shock graph is an emerging shape representation for object recognition, in which a 2-D silhouette is decomposed into a set of qualitative parts, captured in a directed acyclic graph. Although a number of approache... 详细信息
来源: 评论
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
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Spectral methods for view-based 3-D object recognition using silhouettes  9th
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Joint IAPR 9th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2002 and 4th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2002
作者: Macrini, Diego Shokoufandeh, Ali Dickinson, Sven Siddiqi, Kaleem Zucker, Steven Department of Computer Science University of Toronto Canada Department of Mathematics and Computer Science Drexel University United States Department of Computer Science University of Toronto Canada Centre for Intelligent Machines School of Computer Science McGill University Canada Center for Computational Vision and Control Yale University United States
The shockg raph is an emerging shape representation for object recognition, in which a 2-D silhouette is decomposed into a set of qualitative parts, captured in a directed acyclic graph. Although a number of approache... 详细信息
来源: 评论
PointPillars Backbone Type Selection for Fast and Accurate LiDAR Object Detection
PointPillars Backbone Type Selection for Fast and Accurate L...
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International Conference on computer vision and Graphics, ICCVG 2022
作者: Lis, Konrad Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Al. Mickiewicza 30 Krakow30-059 Poland
3D object detection from LiDAR sensor data is an important topic in the context of autonomous cars and drones. In this paper, we present the results of experiments on the impact of backbone selection of a deep convolu... 详细信息
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Ridge polynomial neural network with error feedback for recursive multi-step forecast strategy: A case study of carbon dioxide emissions forecasting  2
Ridge polynomial neural network with error feedback for recu...
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2nd International Conference on computer and Information sciences, ICCIS 2020
作者: Waheeb, Waddah Shah, Habib Jabreel, Mohammed Puig, Domenec School of Computing Asia Pacific University of Technology Innovation Kuala Lumpur Bukit Jalil57000 Malaysia College of Computer Science King Khalid University Department of Computer Science Abha62529 Saudi Arabia IRCV - Intelligent Robotics and Computer Vision Group Universitat Rovira i Virgili Tarragona43007 Spain
Neural networks (NNs) have been used extensively for forecasting problems. NN with error feedbacks is a type of NNs that showed more accurate forecasts compared to feedforward NNs and NNs with output feedbacks with so... 详细信息
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