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检索条件"机构=Center of Computer Vision and Robotics Research Computer Science Department"
807 条 记 录,以下是771-780 订阅
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Exploratory active vision: Theory
Exploratory active vision: Theory
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1992 IEEE computer Society Conference on computer vision and Pattern Recognition, CVPR 1992
作者: Herve, J.-Y. Aloimonos, Y. Computer Vision Laboratory Center for Automation Research Department of Computer Science Institute for Advanced Computer Studies University of Maryland College ParkMD207 42 United States
An active approach to the integration of shape from x modules-here shape from shading and shape from texture-is proposed. The question of what constitutes a good motion for the active observer is addressed. Generally,... 详细信息
来源: 评论
Determination Of Object Location Via Decomposition Of Movement
Determination Of Object Location Via Decomposition Of Moveme...
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IEEE International Workshop on Intelligent Robots and Systems (IROS)
作者: Xingping Cao Gongzhu Hu N. Shrikhande Center for Computer Vision and Robotics Research Department of Computer Science Central Michigan University Mount Pleasant MI USA
来源: 评论
The geometry of visual interception
The geometry of visual interception
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Conference on computer vision and Pattern Recognition (CVPR)
作者: L. Huang Y. Aloimonos Computer Vision Laboratory Center for Automation Research University of Maryland College Park MD USA Computer Vision Laboratory Center for Automation Research Computer Science Department and Institute for Advanced Computer Studies University of Maryland College Park MD USA
Under the traditional paradigm of considering vision as a recovery problem, visual interception is just another application of the structure-from-motion module. However, the inherent difficulties of three-dimensional ... 详细信息
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Exploratory active vision: theory
Exploratory active vision: theory
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Conference on computer vision and Pattern Recognition (CVPR)
作者: J.-Y. Herve Y. Aloimonos Computer Vision Laboratory Center for Automation Research Department of Computer Science Institute for Advanced Computer Studies University of Maryland College Park MD USA
An active approach to the integration of shape from x modules-here shape from shading and shape from texture-is proposed. The question of what constitutes a good motion for the active observer is addressed. Generally,... 详细信息
来源: 评论
Edge detection models based on Gabor filters
Edge detection models based on Gabor filters
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International Conference on Pattern Recognition
作者: K.R. Namuduri R. Mehrotra N. Ranganathan Department of Computer Science and Engineering University of South Florida Tampa FL USA Center for Robotics and Manufacturing Systems University of Kentucky Lexington KY USA Center for Microelectronics Research University of South Florida Tampa FL USA
The performance of a Gabor odd filter-based edge detector is investigated using the measures proposed by Canny. Based on this performance analysis a design criterion for 1-D Gabor filter-based edge detector is derived... 详细信息
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The Geometry of Visual Coordination  9
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9th National Conference on Artificial Intelligence, AAAI 1991
作者: Hervé, Jean-Yves Sharma, Rajeev Cucka, Peter Computer Vision Laboratory Center for Automation Research Department of Computer Science University of Maryland College ParkMD20742 United States
We present a new model for the perceptual reasoning involved in hand/eye coordination, and we show how this model can be developed into a control mechanism for a robot manipulator with a visual sensor. This new approa... 详细信息
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Medial axis representation and encoding of scanned documents
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Journal of Visual Communication and Image Representation 1991年 第2期2卷 151-165页
作者: Brandt, Jonathan W. Jain, Anil K. Ralph Algazi, V. Computer Vision Research Lab CIPIC: The Center for Image Processing and Integrated Computing United States Department of Electrical Engineering and Computer Science University of California Davis CA 95616 United States
The medial axis transform (MAT) is a sparse representation of shape, which, being reversible, has potential for binary image compression. The MAT also provides structural information not accessible with alternative bi...
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Quadric surface fitting for sparse range data
Quadric surface fitting for sparse range data
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IEEE International Conference on Systems, Man and Cybernetics
作者: X. Cao N. Shrikhande Center of Computer Vision and Robotics Research Computer Science Department Central Michigan University Mount Pleasant MI USA
The authors present a systematic comparison of three commonly used least-squares based methods that describes the relationship between noise levels, patch sizes and reliability of surface classification in computer vi... 详细信息
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On seeing spaghetti: A novel self-adjusting seven parameter hough space for analyzing flexible extruded objects
On seeing spaghetti: A novel self-adjusting seven parameter ...
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Geometric Methods in computer vision 1991
作者: Kender, John R. Kjeldsen, Rick Department of Computer Science Columbia University New YorkNY10027 United States Exploratory Computer Vision Group IBM Thomas J. Watson Research Center P.O. Box 704 Yorktown HeightsNY10598 United States
We present a model for flexible extruded objects, such as wires, tubes, or grommets, and demonstrate a novel, *** seven-dimensional Hough transform that derives and analyzes their three-space curved axes from position... 详细信息
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Navigation in a hazardous environment with distributed shelters
Navigation in a hazardous environment with distributed shelt...
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IEEE International Conference on Systems, Man and Cybernetics
作者: R. Sharma D.M. Mount Y. Aloimonos Computer Vision Laboratory Center of Automation Research and Department of Computer Science University of Maryland College Park MD USA
The problem of efficient path planning for a point robot in a partially known dynamic environment is considered. The static known part of the environment consists of point shelters distributed in planar terrain, and t... 详细信息
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