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检索条件"机构=Key Laboratory of Image Processing and Pattern Recognition"
844 条 记 录,以下是811-820 订阅
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Edge Detection Using image Feature Detector
Edge Detection Using Image Feature Detector
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1998 Fourth International Conference Signal processing
作者: Yang Xuan Liang Dequn Yang Haijun Laboratory of Image Processing and Pattern Recognition Xi'an Jiaotong University
A new edge detection operator based on image feature is proposed,which analyze edges in image for edge feature in two *** local extreme of the operator is created at the edge location and low value is created at the s... 详细信息
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Edge detection using image feature detector
Edge detection using image feature detector
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International Conference on Signal processing Proceedings (ICSP)
作者: Yang Xuan Liang Dequn Yang Haijun Laboratory of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an China
A new edge detection operator based on image features is proposed, which analyzes edges in images for edge features in two dimensions. The local extreme of the operator is created at the edge location and a low value ... 详细信息
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Minimizing the topological structure of line images  7th
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7th Joint IAPR International Workshop on Structural and Syntactic pattern recognition, SSPR 1998 and 2nd International Workshop on Statistical Techniques in pattern recognition, SPR 1998
作者: Kropatsch, Walter G. Burge, Mark Vienna University of Technology Institute of Automation 183/2 Pattern Recognition and Image Processing Group Treitlstr.3 WienA-1040 Austria Johannes Kepler University Institute of Systems Science Computer Vision Laboratory LinzA-4040 Austria
We present a new algorithm based on Dual Graph Contraction (DGC) to transform the Run Graph into its Minimum Line Property Preserving (MLPP) form which, when implemented in parallel, requires O(log(longestcurve)) step... 详细信息
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A parallel coordinative visual model-the plate parallel retrieval model (PPRM)
A parallel coordinative visual model-the plate parallel retr...
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International Conference on Signal processing Proceedings (ICSP)
作者: Wang Tianzhen Li Zhou Chang Suwen Wu Zhongyi Du ping National Laboratory of Pattern Recognition Institute of Automation Chinese Academy and Sciences Beijing China Image Processing Laboratory Wuhan Automotive Polytechnic University Wuhan China
In this paper, a parallel coordinative visual model-the revised plate parallel retrieval model (Wang Tianzhen et al, 1994) is presented based on the analysis of the global effect of Chinese characters and the recent n... 详细信息
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A PARALLEL COORDINATIVE VISUAL MODEL—THE PLATE PARALLEL RETRIEVAL MODEL(PPRM)
A PARALLEL COORDINATIVE VISUAL MODEL—THE PLATE PARALLEL RET...
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1998 Fourth International Conference Signal processing
作者: Wang Tianzhen Li Zhou Chang Suwen Wu Zhongyi Du ping Image Processing Lab.Wuhan Automative Polytechnical University National lab.of Pattern Recognition Institute of Automation Chinese Academy of Sciences Station Education Commission Laboratory for Image Processing and Intelligent Control China
In this paper,a parallel coordinative visual model—The revised Plate Parallel Retrieval Model(Wang 1994) [1]is presented based on the analysis of the global effect of Chinese Characters and the recent neurobiological... 详细信息
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A Region-Based Representation of images in MARS
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Journal of VLSI Signal processing Systems for Signal, image, and Video Technology 1998年 第1-2期20卷 137-150页
作者: Servetto, Sergio D. Rui, Yong Ramchandran, Kannan Huang, Thomas S. Beckman Inst. Adv. Sci. and Technol. Univ. Illinois at Urbana-Champaign Urbana IL 61801 United States Universidad Nacional de La Plata Argentina Univ. Illinois at Urbana-Champaign United States Comp. Res. Adv. Applications Group IBM Argentina Argentina Image Formation and Processing Group Beckman Institute UIUC United States Department of Computer Science UNLP Argentina Dept. of Elec. and Comp. Engineering UIUC United States Multimedia Commun. Res. Department Bell Laboratories Murray Hill NJ United States Info. Sciences Research Department AT and T Labs. Florham Park NJ United States Department of Computer Science UIUC United States Southeast University China Tsinghua University China University of Illinois Urbana-Champaign IL United States Image Formation and Processing Group Beckman Inst. Advance Sci. Technol. UIUC United States Vis. Technol. Grp. of Microsoft Res. Redmond WA United States City College of New York United States Columbia University United States AT and T Bell Labs. United States Ctr. for Telecommunications Research Columbia University United States Elec. and Comp. Eng. Department United States Beckman Institute Coordinated Science Laboratory IL United States IEEE Signal Processing Society United States IEEE IMDSP Technical Committee United States IEEE Transactions on Image Proc. United States National Taiwan University Taipei Taiwan Massachusetts Inst. of Technology Cambridge MA United States Department of Electrical Engineering MIT United States School of Electrical Engineering United States Lab. for Info. and Signal Processing Purdue University United States Dept. of Elec. and Comp. Engineering United States Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Inst. Adv. Sci. and Technol. United States MIT Lincoln Laboratory IBM Thomas J. Watson Research Center Rheinishes Landes Museum Bonn Germany Swiss Institutes of Technology Zurich Switzerland Swiss Institutes of Technology Lausanne S
We study the problem of representing images within a multimedia Database Management System (DBMS), in order to support fast retrieval operations without compromising storage efficiency. To achieve this goal, we propos...
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An efficient moving target identification method
An efficient moving target identification method
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IEEE International Conference on Intelligent processing Systems, ICIPS
作者: Nong Shang Tianxu Zhang Jiaxiong Peng Inst. for Pattern Recognition & Artifical Intelligence Huazhong Univ. of Sci. & Technol. Hubei China Institute for pattern Recognition and Artificial intelligence state Education commission Laboratory for Image processing and Intelligent control Huazhong University of Science슠and슠Technology Wuhan Hubei China
Presents an efficient method which uses two neighboring frames in image sequences for target identification. Using statistical information about the background noise and candidate regions' noise after background r... 详细信息
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Matching confidence analysis method based on tests of hypotheses
Matching confidence analysis method based on tests of hypoth...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Nong Sang Ruolin Wang Tianxu Zhang Institute for Pattern Recognition and Artificial Intelligence State E ducation Commission Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan Hubei China Department of Civil Engineering Wuhan University of Hydraulic and Electrical Engineering Hubei China
Matching confidence is an important element for evaluating image matching quality. A method is presented which uses the technique of tests of hypotheses to determine image matching confidence under a certain testing l... 详细信息
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Determining pose of 3D objects with curved surfaces
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IEEE TRANSACTIONS ON pattern ANALYSIS AND MACHINE INTELLIGENCE 1996年 第1期18卷 52-57页
作者: Chen, JL Stockman, GC Pattern Recognition and Image Processing Laboratory Michigan State University East Lansing MI USA
A method is presented for computing the pose of rigid 3D objects with arbitrary curved surfaces. Given an input image and a candidate object model and aspect, the method will verify whether or not the object is presen... 详细信息
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On-line fingerprint verification
On-line fingerprint verification
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13th International Conference on pattern recognition, ICPR 1996
作者: Jain, Anil Hong, Lin Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East Lansing MI 48824 United States
We describe the design and implementation of an online fingerprint verification system which operates in two stages: (i) minutia extraction and (ii) minutia matching. An improved minutia extraction algorithm that is m... 详细信息
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