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检索条件"机构=Computer Vision Robotics Research Laboratory Electrical Computer Engineering Department"
1180 条 记 录,以下是1061-1070 订阅
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Tracking in a complex visual environment  1st
Tracking in a complex visual environment
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1st European Conference on computer vision, ECCV 1990
作者: Aloimonos, John Yiannis Tsakiris, Dimitris P. Computer Vision Laboratory Center for Automation Research and Institute for Advanced Computer Studies and Computer Science Department University of Maryland College ParkMD20742-3411 United States Electrical Engineering Department and Systems Research Center University of Maryland College ParkMD20742-3411 United States
We examine the tracking of 3-dimensional targets moving in a complex (e.g. highly textured) visual environment, which makes the application of methods relying on static segmentation and feature correspondence very pro... 详细信息
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Optimally localized estimation of the fractal dimension
Optimally localized estimation of the fractal dimension
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Curves and Surfaces in computer vision and Graphics 1990
作者: Super, Boaz J. Bovik, Alan C. Department of Computer Sciences University of Texas at Austin AustinTX78712 United States Laboratory for Vision Systems Department of Electrical and Computer Engineering University of Texas at Austin AustinTX78712-1084 United States
We present a method for making accurate measurements of the instantaneous fractal dimension of (1) images modeled as fractal Brownian surfaces, and (2) images of physical surfaces modeled as fractal Brownian surfaces.... 详细信息
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On reducing compensator bandwidth of LQG/LTR control: an H∞- optimization approach
On reducing compensator bandwidth of LQG/LTR control: an H∞...
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American Control Conference (ACC)
作者: K. C. Han T. C. Hsia Robotics Research Laboratory Department of Electrical Engineering and Computer Science University of California Davis CA 95616 Robotics Research Laboratory Department of Electrical Engineering and Computer Science University of California Davis CA USA
Due to lack of robustness, the Linear Quadratic Gaussian (LQG) approach to the design of control systems is enhanced by Loop Transfer Recovery (LTR) techniques. However, the robustness is recovered with the price paid... 详细信息
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Robot manipulator control using decentralized linear time-invariant time-delayed joint controllers
Robot manipulator control using decentralized linear time-in...
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IEEE International Conference on robotics and Automation (ICRA)
作者: T.C. Hsia L.S. Gao Robotics Research Laboratory Department of Electrical Engineering and Computer Science University of California Davis CA USA
It is shown that robot manipulator control can be accomplished using simple decentralized linear time invariant time-delayed joint controllers instead of the complicated computed torque control scheme. This means that... 详细信息
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Joint trajectory generation for redundant robots in an environment with obstacles
Joint trajectory generation for redundant robots in an envir...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Z.Y. Guo T.C. Hsia Robotics Research Laboratory Department of Electrical Engineering and Computer Science University of California Davis CA USA
The problem of determining collision-free joint space trajectories for redundant robots is considered, and the command-generator approach is used to generate such trajectories. In this approach, a distance objective f... 详细信息
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Object recognition in dense range images using a CAD system as a model base
Object recognition in dense range images using a CAD system ...
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IEEE International Conference on robotics and Automation (ICRA)
作者: F. Arman J.K. Aggarwal Computer and Vision Research Center Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA
A model-based vision system is proposed in which a commercial CAD system has been used for object modeling. Assuming that the model is known, the corresponding object in the scene is located. Given the CAD model of an... 详细信息
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Binocular versus trinocular stereo
Binocular versus trinocular stereo
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IEEE International Conference on robotics and Automation (ICRA)
作者: U.R. Dhond J.K. Aggarwal Computer & Vision Research Center ENS 519 Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA
Consideration is given to the twin issues of the gain in accuracy of stereo correspondence and the accompanying increase in computational cost due to the use of a third camera for stereo analysis. The relative perform... 详细信息
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A tutorial on multisensor integration and fusion
A tutorial on multisensor integration and fusion
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Annual Conference of Industrial Electronics Society
作者: R.C. Luo M.G. Kay Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA
A tutorial introduction to the subject of multisensor integration and fusion is presented. The role of multisensor integration and fusion in the operation of intelligent systems is defined in terms of the unique type ... 详细信息
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3D object recognition using a mobile laser range finder
3D object recognition using a mobile laser range finder
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EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications
作者: R.C. Luo R.S. Scherp Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA
Presents a 3D object recognition system with emphasis on an optimum placement strategy for a mobile 3D range sensor. The theoretical aspects leading to the development of the 3D sensor placement paradigm are presented... 详细信息
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Shape from focus: an effective approach for rough surfaces
Shape from focus: an effective approach for rough surfaces
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IEEE International Conference on robotics and Automation (ICRA)
作者: S.K. Nayar Y. Nakagawa The Robotics Institute Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA Production Engineering Research Laboratory Hitachi and Limited Yokohama Kanagawa Japan
Two algorithms for depth estimation are presented. The first algorithm simply looks for the focus level that maximizes the focus measure at each image point. The second algorithm uses a Gaussian model to interpolate t... 详细信息
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