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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151-160 订阅
排序:
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
arXiv
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arXiv 2022年
作者: Luo, Cheng Song, Siyang Xie, Weicheng Shen, Linlin Gunes, Hatice Computer Vision Institute Shenzhen University China Shenzhen Institute of Artificial Intelligence and Robotics for Society China Guangdong Key Laboratory of Intelligent Information Processing China Department of Computer Science and Technology University of Cambridge United Kingdom
The activations of Facial Action Units (AUs) mutually influence one another. While the relationship between a pair of AUs can be complex and unique, existing approaches fail to specifically and explicitly represent su... 详细信息
来源: 评论
Adaptive real-time video-tracking for arbitrary objects
Adaptive real-time video-tracking for arbitrary objects
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2010 IEEE/RSJ International Conference on intelligent Robots and Systems
作者: Dominik A. Klein Dirk Schulz Simone Frintrop Armin B. Cremers Intelligent Vision Systems Group Department of Computer Science III Rheinische Friedrich-Wilhelms-Universität Bonn Germany US Armed Systems Group Fraunhofer FKIE Wachtberg Germany
In this paper, we present a visual object tracker for mobile systems that is able to specialize to individual objects during tracking. The core of our method is a novel observation model and the way it is automaticall... 详细信息
来源: 评论
Latent Space Policy Search for robotics
Latent Space Policy Search for Robotics
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IEEE/RSJ International Conference on intelligent Robots and Systems
作者: Kevin Sebastian Luck Gerhard Neumann Erik Berger Jan Peters Heni Ben Amor Department of Computer Science Technische Universitat Darmstadt 64289 Darmstadt Germany Department of Mathematics and Computer Science Technische Universitat Bergakademie Freiberg 09599 Freiberg Germany Institute for Robotics and Intelligent Machines Georgia Institute of Technology GA 30332 USA
Learning motor skills for robots is a hard task. In particular, a high number of degrees-of-freedom in the robot can pose serious challenges to existing reinforcement learning methods, since it leads to a high-dimensi... 详细信息
来源: 评论
Social robotics  1
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丛书名: Lecture Notes in computer science
1000年
作者: Bilge Mutlu Christoph Bartneck Jaap Ham Vanessa Evers Takayuki Kanda
This book constitutes the refereed proceedings of the Third International Conference on Social robotics, ICSR 2011, held in Amsterdam, The Netherlands, in November 2011. The 23 revised full papers were carefully selec... 详细信息
来源: 评论
Mining discriminative adjectives and prepositions for natural scene recognition
Mining discriminative adjectives and prepositions for natura...
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IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)
作者: Bangpeng Yao Juan Carlos Niebles Li Fei-Fei Department of Computer Science Princeton University NJ USA Robotics and Intelligent Systems Group Universidad del Norte Colombia Department of Electrical Engineering Princeton University NJ USA
This paper presents a method that considers not only patch appearances, but also patch relationships in the form of adjectives and prepositions for natural scene recognition. Most of the existing scene categorization ... 详细信息
来源: 评论
Machining feature-based comparisons of mechanical parts
Machining feature-based comparisons of mechanical parts
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International Conference on Shape Modeling and Applications
作者: V. Cicirello W.C. Regli The Robotics Institute Carnegie Mellon University Pittsburgh PA USA Geometric and Intelligent Computing Laboratory Department of Mathematics and Computer Science Drexel University Philadelphia PA USA
Solid models are the critical data elements in modern computer-aided design (CAD) environments, describing the shape and form of manufactured artifacts. Their growing ubiquity has created new problems in how to effect... 详细信息
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Calibrated and partially calibrated semi-generalized homographies
arXiv
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arXiv 2021年
作者: Bhayani, Snehal Sattler, Torsten Barath, Daniel Beliansky, Patrik Heikkilä, Janne Kukelova, Zuzana Center for Machine Vision and Signal Analysis University of Oulu Finland Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Computer Vision and Geometry Group Department of Computer Science ETH Zürich Faculty of Mathematics and Physics Charles University Prague Czech Republic Visual Recognition Group Faculty of Electrical Engineering Czech Technical University in Prague
In this paper, we propose the first minimal solutions for estimating the semi-generalized homography given a perspective and a generalized camera. The proposed solvers use five 2D-2D image point correspondences induce... 详细信息
来源: 评论
A visual servoing approach for tracking features in urban areas using an autonomous helicopter
A visual servoing approach for tracking features in urban ar...
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IEEE International Conference on robotics and Automation (ICRA)
作者: L. Mejias P. Campoy S. Saripalli G.S. Sukhatme Computer Vision Group Universidad Politécnica de Madrid Madrid Spain Robotic Embedded Systems Laboratory Center for Robotics and Embedded Systems Department of Computer Science University of Southern California Los Angeles CA USA
The use of unmanned aerial vehicles (UAVs) in civilian and domestic applications is highly demanding, requiring a high-level of capability from the vehicles. This work addresses the design and implementation of a visi... 详细信息
来源: 评论
Omni-directional vision for robot navigation
Omni-directional vision for robot navigation
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IEEE Workshop on Omnidirectional vision
作者: N. Winters J. Gaspar G. Lacey J. Santos-Victor Computer Vision and Robotics Group. Department of Computer Science University of Dublin Dublin Ireland Instituto Superior Técnico Lisboa Portugal Instituto de Sistemas e Robotica Instituto Superior Tecnico Lisboa Portugal
We describe a method for visual based robot navigation with a single omni-directional (catadioptic) camera. We show how omni-directional images can be used to generate the representations needed for two main navigatio... 详细信息
来源: 评论
Bitcoin Price Forecasting: A Comparative Study Between Statistical and Machine Learning Methods
Bitcoin Price Forecasting: A Comparative Study Between Stati...
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International Conference on computer & Information science (ICCIS)
作者: Waddah Waheeb Habib Shah Mohammed Jabreel Domenec Puig School of Computing Asia Pacific University of Technology & Innovation Kuala Lumpur Bukit Jalil Malaysia College of Computer Science King Khalid University Abha Saudi Arabia IRCV - Intelligent Robotics and Computer Vision Group Universitat Rovira i Virgili Tarragona Spain
This paper presents a comparative study between statistical and machine learning methods in forecasting Bitcoin's closing prices. Thirteen forecasting methods namely average, naive, drift, auto-regressive integrat... 详细信息
来源: 评论