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共 249 条记录，以下是231-240 订阅

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Real-time, 3-D multi object position estimation and tracking

Real-time, 3-D multi object position estimation and tracking

引用

International conference on Pattern Recognition

作者： J. Kaszubiak M. Tornow R.W. Kuhn B. Michaelis Faculty of Electrical Engineering and Information Technology Institute of Electronics Signal Processing and Communication (IESK) Otto-von-Guericke University of Magdeburg Magdeburg Germany

For autonomously acting robots and driver assistance systems, powerful optical stereo sensor systems are required. Object positions and environmental conditions have to be acquired in real-time. A hardware-software co-design is applied, acting within the presented stereophotogrammetric system. For calculation of the depth map, an optimized algorithm is implemented as a hierarchical parallel hardware solution. By adapting the image resolution to the distance, real-time processing is possible. the object clustering and the tracking is realized in a processor. the density distribution of the disparity in the depth map (disparity histogram) is used for object detection. A Kalman filter stabilizes the parameters of the results.

关键词： Hardware Clustering algorithms Delay Optical signal processing Signal processing algorithms Object detection Real time systems Vehicles Streaming media Cameras

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P-AFLC: a parallel scalable fuzzy clustering algorithm

P-AFLC: a parallel scalable fuzzy clustering algorithm

引用

International conference on Pattern Recognition

作者： A. Petrosino M. Verde ICAR Italian National Research Council (CNR) Complesso University of Monte S. Angelo Napoli Italy

Clustering is the unsupervised classification of data items into homogeneous groups called clusters. Clustering algorithms are computationally intensive, particularly when they are used to analyze large amounts of data and this is the case in many pattern recognition, image analysis applications. A possible approach to reduce the processing time is based on the implementation of clustering algorithms on scalable parallel computers. this paper describes the design and implementation of P-AFLC, a parallel version of the adaptive fuzzy leader clustering system based upon the competitive learning model for determining optimal classes in large data sets. the system architecture, its implementation, and experimental performance results are reported, together with theoretical performance evaluation.

关键词： Clustering algorithms image analysis Pattern analysis Algorithm design and analysis Pattern recognition Application software Concurrent computing Fuzzy sets Fuzzy systems Computer architecture

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Proposal of a parallel architecture for a motion detection algorithm

Proposal of a parallel architecture for a motion detection a...

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International conference on Pattern Recognition

作者： V. Ila R. Garcia F. Charot Computer Vision and Robotics Group Institute of Informatics and Applications Girona Spain Institute de Recherche en Informatique et en Systemes Aleatoires Rennes France

this paper proposes a parallel architecture for estimation of the motion of an underwater robot. It is well known that image processing requires a huge amount of computation, mainly at low-level processing where the algorithms are dealing with a great number of data. In a motion estimation algorithm, correspondences between two images have to be solved at the low level. In the underwater imaging, normalised correlation can be a solution in the presence of non-uniform illumination. Due to its regular processing scheme, parallel implementation of the correspondence problem can be an adequate approach to reduce the computation time. Taking into consideration the complexity of the normalised correlation criteria, a new approach using parallel organisation of every processor from the architecture is proposed.

关键词： Proposals Parallel architectures Motion detection Motion estimation image processing Computer architecture Computer vision Robot vision systems Cameras Application software

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Improved 3D head reconstruction system based on combining shape-from-silhouette with two-stage stereo algorithm

Improved 3D head reconstruction system based on combining sh...

引用

International conference on Pattern Recognition

作者： K. Fujimura Y. Oue T. Terauchi Digital Systems Development Center SANYO Electric Company Limited Bunkyo Tokyo Japan

In this paper, we present a quality improvement algorithm for the system, which models a human head. We have already proposed and applied the hybrid algorithm combining shape-from-silhouette with active stereo to our product of 3D head reconstruction system. Our system is characterized by the ability of the reconstruction of the whole shape and texture of the human head, even the black hair parts, while other existing systems cannot do it. Feature-based stereo algorithm adopted into our current system is the fast and robust approach. However, the depth data may be sparse and the accuracy depends on how accurate the edge detection is. On the other hand, area-based stereo algorithms generally provide dense depth data and can apply subpixel estimation, but it is comparatively time-consuming and may be inaccurate influenced by the difference of how to reflect the object in each image. To overcome these problems for improving our system practicably, we propose a novel two-stage stereo algorithm. In our algorithm, first, we adopt feature-based approach to get the depth data robustly. Next, an interpolation of the depth data is performed to predict the depth data at the unestimated pixels on the edge. Finally, applying area-based approach and subpixel estimation refine the depth data. In this paper, we describe our hybrid modeling algorithm and two-stage stereo algorithm with some experimental results.

关键词： Head Stereo vision image reconstruction Humans Shape Robustness Stereo image processing Hair image edge detection Interpolation

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A cost model and index architecture for the similarity join

A cost model and index architecture for the similarity join

引用

International conference on Data Engineering

作者： C. Bohm H.-P. Kriegel University of Munich (LMU) Germany

ISBN: (纸本)0769510019

the similarity join is an important database primitive which has been successfully applied to speed up data mining algorithms. In the similarity join, two point sets of a multidimensional vector space are combined such that the result contains all point pairs where the distance does not exceed a parameter /spl epsiv/. Due to its high practical relevance, many similarity join algorithms have been devised. the authors propose an analytical cost model for the similarity join operation based on indexes. Our problem analysis reveals a serious optimization conflict between CPU time and I/O time: fine-grained index structures are beneficial for CPU efficiency, but deteriorate the I/O performance. As a consequence of this observation, we propose a new index architecture and join algorithm which allows a separate optimization of CPU time and I/O time. Our solution utilizes large pages which are optimized for I/O processing. the pages accommodate a search structure which minimizes the computational effort in the experimental evaluation, and a substantial improvement over competitive techniques is shown.

关键词： Costs Clustering algorithms Data mining Multidimensional systems Spatial databases Algorithm design and analysis Performance analysis Biomedical imaging image analysis Time series analysis

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Approximation to Boolean functions by neural networks with applications to thinning algorithms

Approximation to Boolean functions by neural networks with a...

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IEEE Instrumentation and Measurement Technology conference

作者： Xiong Shenshu Zhou Zhaoying Zhong Limin Zhang Wendong Department of Precision Instruments and Mechanology Tsinghua University Beijing China

In this paper, a theorem on approximation to Boolean functions by neural networks and its proof are proposed. A Boolean function, f:{0,1}n/spl rarr/{0,1} is proved to be approximated by a three layer neural network with 2/sup n/ hidden nodes. With the theorem, a thinning algorithm using the neural network technique is concluded. A hard processor implementing the thinning algorithm is designed to raise the thinning efficiency, which can meet the practical needs better. this makes the algorithm suitable for real-time image processing.

关键词： Boolean functions Neural networks Approximation algorithms image processing Mathematics Digital systems Piecewise linear approximation Instruments Electronic mail Algorithm design and analysis

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A modified fuzzy Sobel edge detector

A modified fuzzy Sobel edge detector

引用

National conference on Radio Science (NSRC)

作者： S.E. El-Khamy M. Lotfy N. El-Yamany Electrical Engineering Department Faculty of Engineering Alexandria University Alexandria Egypt

A modified fuzzy Sobel method for edge detection and enhancement is proposed. this method is a modification of the fuzzy Sobel method proposed by Kuo, Lee and Liu see (IEEE conference on Fuzzy systems, p.1069-74, 1997). the proposed method overcomes the drawbacks of the conventional gradient methods for edge detection such as Prewitt and Sobel methods. It automatically obtains four threshold values, and apply fuzzy reasoning for edge enhancement. the edges extracted by this method are very clear and provides better representation for image edges and object contours.

关键词： image edge detection Fuzzy reasoning Gradient methods Signal processing Signal processing algorithms Detectors Electronic mail Digital images Multimedia communication Biomedical imaging

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Fast three step search algorithm with minimum checking points

Fast three step search algorithm with minimum checking point...

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Proceedings of the 1998 17th conference on Consumer Electronics

作者： Kim, Jong-Nam Choi, Tae-Sun Kwangju Inst of Science and Technology Kwangju Korea Republic of

the three step search (TSS) has been used for real time video processing and low bit-rate video communications because of reduced computations, simplicity, and reasonable performance in the motion estimation. Other modified algorithms of TSS have been studied for speed of computation and the performance of motion vector estimation. this paper proposes a new algorithm (Fast three Step Search) for more efficient reduction of computational complexity. It is shown that the proposed algorithm (FTSS) is very efficient in computation while keeping the reasonable performance.

关键词： image communication systems

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6th International conference on Database and Expert systems Applications, DEXA 1995

6th International Conference on Database and Expert Systems ...

引用

6th International conference on Database and Expert systems Applications, DEXA 1995

ISBN: (纸本)9783540603030

the proceedings contain 61 papers. the special focus in this conference is on Object-Oriented Databases and Advanced Database Applications. the topics include: Communication costs in digital library databases;METU object-oriented DBMS kernel;gaining a uniform view of different integration aspects in a prototyping environment;a frame-based approach for interoperation support in multidatabase systems;developing distributed database applications using TSL;prints of the 17th century in a distributed digital library system;a class definition language;design and implementation of object-oriented views;a visual object-oriented query language for geographic information systems;capturing essential questions using question support facilities in the VIEW classroom;a fuzzy model of managerial decision making incorporating risk and ambiguity aversion;people oriented software technology, and its use in environmental reporting;a cost evaluator for parallel database systems;a performance study of declustering strategies for parallel spatial databases;benchmarking object-oriented database systems for CAD;combining reverse with forward database engineering;performance evaluation for clustering algorithms in object-oriented database systems;applied active databases for evolving image processing algorithms;spatial reasoning for GIS using a tesseral data representation;a new dynamic signature file method in parallel processing environment;general protocols for consensus in distributed systems;the multiple representation in an architectural application;simulation of schema change using views;a depository for structured text objects;issues on hypertext design;disjunctive ordered logic and an algebraic rewriting theorem of multiple linear recursions and its applications.

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Converting algorithms for detecting physiological function changes from time sequential thermal images of skin surface

Converting algorithms for detecting physiological function c...

引用

Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： I. Fujimasa T. Chinzei K. Mabuchi Research Center for Advanced Science and Technology University of Tokyo Tokyo Japan

the temperature of the skin surface closely relates to physiological functions which control the body temperature constant. When we intend to analyze such physiological functions from thermal images of the skin surface which are obtained by a far infrared thermograph, we should prepare an algorithm to convert from thermal to other physiological information. the temperature of the skin surface is influenced many environmental, physiological and structural parameters. When we wish to detect a pathophysiological function, especially, changes of the parameter, we should develop some methods to eliminate the other parameters. the computed thermography system (CTS) developed in 1986 offers fundamental sequential image processing tools. Using this tool, we developed some algorithms to detect transient changes of some physiological functions when we applied thermal, physical hormonal and neural stress. We obtained images, i.e. therma-tomes, which are caused by changes of such physiological functions as skin blood flow rate, blood volume in subcutaneous vascular bed, sweat volume and activities of sympathetic nerve systems.

关键词： Skin image converters thermal stresses Temperature control image analysis Information analysis Algorithm design and analysis Infrared imaging Structural engineering image processing

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