Results 261 to 270 of about 44,608 (313)
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2013
The current trend in computer vision is development of data-driven approaches where the use of large amounts of data tries to compensate for the complexity of the world captured by cameras. Are these approaches also viable solutions in robotics? Apart from ‘seeing’, a robot is capable of acting, thus purposively change what and how ...
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The current trend in computer vision is development of data-driven approaches where the use of large amounts of data tries to compensate for the complexity of the world captured by cameras. Are these approaches also viable solutions in robotics? Apart from ‘seeing’, a robot is capable of acting, thus purposively change what and how ...
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2006
Title and Table of Contents 7 1\. Introduction 13 2\. Machine Vision Background 27 3\. Tracking algorithms for active systems 51 4\. Fuzzy Segmentation 87 5\. Neural Networks in Face Localization 103 6\. Adaptive Control 121 7\. Fuzzy control 151 8\. Gaze Control 177 9\. Neurofuzzy prediction for visual tracking 193 10\.
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Title and Table of Contents 7 1\. Introduction 13 2\. Machine Vision Background 27 3\. Tracking algorithms for active systems 51 4\. Fuzzy Segmentation 87 5\. Neural Networks in Face Localization 103 6\. Adaptive Control 121 7\. Fuzzy control 151 8\. Gaze Control 177 9\. Neurofuzzy prediction for visual tracking 193 10\.
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Projects and Vision in Robotics
2007The history of intelligent robotics started with Shakey developed at SRI in 1965. Shakey provided us several important research issues and we, robotics researchers, focused on the fundamental issues for making it more intelligent, such as Artificial Intelligence, Computer Vision, and Language Recognition.
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Robotic vision: What happened to the visions of yesterday?
Object recognition supported by user interaction for service robots, 2003We will examine the hopes and dreams of a decade ago when there was a lot of excitement hi the community about what could be accomplished with model-based vision in robotics. Many of those dreams have not yet materialized because of a lack of availability of "vision" models (as opposed to CAD models), difficulty of constructing vision models ...
Avinash C. Kak, Guilherme N. DeSouza
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Journal of Robotic Systems, 2004
AbstractThe University of Colorado at Denver robotics society is constructing an autonomous ground vehicle (AGV) capable of accomplishing the Association of Unmanned Vehicle Systems International (AUVSI) competition objectives. The design presented features an engineering focus on a statistical, vision based discrete‐time control system optimized for ...
Brian Atkinson +3 more
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AbstractThe University of Colorado at Denver robotics society is constructing an autonomous ground vehicle (AGV) capable of accomplishing the Association of Unmanned Vehicle Systems International (AUVSI) competition objectives. The design presented features an engineering focus on a statistical, vision based discrete‐time control system optimized for ...
Brian Atkinson +3 more
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Subspace methods for robot vision
IEEE Transactions on Robotics and Automation, 1996In contrast to the traditional approach, visual recognition is formulated as one of matching appearance rather than shape. For any given robot vision task, all possible appearance variations define its visual workspace. A set of images is obtained by coarsely sampling the workspace.
Shree K. Nayar +2 more
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A Developmental Robot Vision System
2006 IEEE International Conference on Systems, Man and Cybernetics, 2006This paper presents a robot vision system that is able to develop its vision gradually in its environment, from motion detection, to analysis of static features of objects, to object individuation, to identifying object unity, to tracking objects and finally to understanding some fundamental object relations. Through a developmental approach, our robot
Xing Zhang, Mark H. Lee
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Attention control for robot vision
Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1996Focus of attention mechanisms for robot vision are discussed. A new method for neglecting low level filter responses from already modelled structures is presented. The method is based on a filtering technique termed normalized convolution. In one experiment, the robot is continuously moving its arm in the scene while tracking other objects. It is shown
Carl-Fredrik Westin +3 more
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Vision in robot soccer: a review
Artificial Intelligence Review, 2013This paper will give readers an overview of the vision system used on Robot Soccer systems. Firstly, it lists out the positioning of the cameras that are used on a robot soccer system both for FIRA and RoboCup. Here various position of camera placement is explained; among them are the global and local visions.
Sivadev Nadarajah, Kenneth Sundaraj
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