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检索条件"任意字段=4th International Conference on Computer Vision, Pattern Recognition and Image Processing"

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Connection machine vision-Replicated data structures

Connection machine vision-Replicated data structures

引用

international conference on pattern recognition

作者： L.S. Davis L.T. Chen P.J. Narayanan Computer Vision Laboratory University of Maryland College Park MD USA

the problem of efficiently processing small data structures on massively parallel single-instruction multiple-data machines using replication methods is discussed. the problem stems from considerations of both multiresolution vision systems and focus of attention vision systems. A general framework for developing replicated algorithms, based on the four steps of embedding, distribution, decomposition, and collection, is described. A simple example is provided based on computing the histogram of a gray-level image. Replicated chain processing is discussed, and an efficient algorithm for ranking the elements in a chain in log (n) time on a concurrent write parallel random access machine is presented.< >

关键词： Data structures Spatial resolution image processing image analysis Pixel computer vision Machine vision Focusing Phase change random access memory image resolution

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Dynamic intelligent scheduling and control of reconfigurable parallel architectures for computer vision/image processing

Dynamic intelligent scheduling and control of reconfigurable...

引用

international conference on pattern recognition

作者： F.J. Weil L.H. Jamieson E.J. Delp Software Research Labaratory Communications Sector Software Technology Center Motorola Inc. Schaumburg IL USA School of Electrical Engineering Purdue University West Lafayette IN USA

A system for dynamic intelligent scheduling and control (DISC) of reconfigurable parallel processors is presented. the purpose of the system is to provide a rapid prototyping capability for computer vision/image processing tasks. the scheduler particularly addresses the problems of algorithms with execution times that depend on the image data and processing scenarios that vary dynamically based on the input image. Since conventional scheduling methods cannot propose schedules for most masks of this type, a dynamic controller is used to schedule the task and reconfigure the machine on the fly. this dynamic scheduling system attempts to balance the overall processing scenario with the needs of the individual routines that make up the task. the implementation of this system is discussed, with emphasis on the scheduling heuristics and the use of the system for prototyping computer vision/image processing tasks. Testing was done on a number of tasks that exercised different aspects of the scheduling strategy.< >

关键词： Intelligent control Dynamic scheduling Processor scheduling Prototypes computer vision image processing Intelligent systems Control systems Scheduling algorithm Testing

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Viscom: an orthogonal multiprocessor for early vision and neural computing

Viscom: an orthogonal multiprocessor for early vision and ne...

引用

international conference on pattern recognition

作者： N. Haddadi K. Hwang R. Chellappa Department of Electrical Engineering-Systems University of Southern California Los Angeles CA USA

A categorization of important image/vision algorithms that can be efficiently implemented on a research multiprocessor called Viscom is presented. Extended C-language constructs are developed and used to specify orthogonal multiprocessing algorithms. Several early vision algorithms are illustrated, including convolution, optical flow, and 2D transforms. Motion analysis is modeled by an artificial neural network, which can also be efficiently mapped onto Viscom. Advantages of using Viscom for early vision and neural computing are discussed, and the associated hardware/software development experiences are reported.< >

关键词： computer vision computer architecture Concurrent computing image processing Prototypes Application software Neural networks Optical computing image motion analysis Parallel processing

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PARADIGM: an architecture for distributed vision processing

PARADIGM: an architecture for distributed vision processing

引用

international conference on pattern recognition

作者： C.H. Chien L.J. Lin School of Computer Science Carnegie Mellon University Pittsburgh PA USA

A parallel vision architecture called PARADIGM is proposed. PARADIGM has been designed as a mechanism for composing distributed programs for vision processing and spatial-oriented operations. In the PARADIGM environment, users can focus their efforts on solving vision problems and choosing the best strategies for data partitioning without worrying about task allocation/scheduling and details of communications. PARADIGM has been implemented on top of Nectar, a fiber-optic-based network backplane for heterogeneous multicomputers. A prototype spatial database subsystem has been implemented on Nectar using PARADIGM to justify and refine the design of the proposed vision architecture.< >

关键词： Distributed vision networks computer architecture computer vision image processing Parallel architectures Optical fiber communication Backplanes Prototypes Spatial databases Contracts

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Parallel coordination of image operators based on shared-memory architecture

Parallel coordination of image operators based on shared-mem...

引用

international conference on pattern recognition

作者： Shu-Yuen Hwang S.L. Tanimoto Department of Computer Science and Information Engineering National Chiao Tung University Taiwan Department of Computer Science and Engineering University of Washington USA

ISBN: (纸本)0818620625

Several types of parallelism that may be exploited in vision algorithms based on a state-space search are identified. A method called the V* algorithm, which generates the successors of a state in parallel, is presented. In machine vision, this part of the search process is very expensive, and thus V* permits substantial speedup. An experimental evaluation of V* which is based on a simulation of a character-recognition algorithm is presented. the simulation runs on a Sequent Balance 21000, using 16 out of 20 processors.< >

关键词： Machine vision Parallel processing computer science State-space methods Computational efficiency Search problems computer architecture Adaptive control Space exploration image recognition

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Optimal parallel computation of the quadtree medial axis transform on a multi-layered architecture

Optimal parallel computation of the quadtree medial axis tra...

引用

international conference on pattern recognition

作者： L. Cinque C. Guerra S. Levialdi Dipartimento di Matematica Universita di Roma Italy Department of Computer Sciences Purdue University USA

the quadtree medial axis is a compact image representation that can be used to derive a number of geometrical properties of an image component. A parallel algorithm for computing the quadtree medial axis transform is ... 详细信息

关键词： Concurrent computing computer architecture Parallel algorithms image representation Skeleton Application software image processing computer vision computer graphics Computational modeling

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An object-oriented language for image and vision execution (OLIVE)

An object-oriented language for image and vision execution (...

引用

international conference on pattern recognition

作者： M. Flickner M. Lavin S. Das IBM Almaden Research Center San Jose CA USA IBM Thomas J. Watson Research Center Yorktown Heights NY USA

the object-oriented language for image and vision environments (OLIVE), which is intended to make it easier to develop efficient, portable applications is presented. OLIVEs principal object types, called images and loci (abstractions of point sets and geometric entities), and their corresponding operations, including the use of locuses as generalized indexes for images, are defined. Several examples of OLIVE for typical image processing and machine vision tasks are presented. Issues concerning the implementation of OLIVE, including a hardware architecture that simplifies the implementation while enhancing its performance, are discussed.< >

关键词： Machine vision image processing Algorithms Hardware Libraries computer vision Costs Application software Very large scale integration Computational efficiency

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Architecture-independent global image processing

Architecture-independent global image processing

引用

international conference on pattern recognition

作者： J.A. Webb School of Computer Science Carnegie Mellon University Pittsburgh PA USA

A specialized language, called Adapt, for local and global image processing on parallel processors is presented. Adapt is based on a split and merge model. the input image is split into sections, which are processed separately on different processors, and the results are merged using a function written by the user. this model is quite general; any image processing operation that can be computed from top to bottom or from bottom to top on an image can be computed with it. the use of Adapt is illustrated with several programs for important global operations, including histogram, Hough transform, minimum bounding rectangle, and connected components. A preliminary implementation of Adapt exists on the Carnegie Mellon Warp machine. Performance figures from this implementation are provided. A description of how Adapt can be implemented on other architectures is given.< >

关键词： image processing computer vision Parallel programming computer architecture Concurrent computing Histograms computer science Parallel architectures image edge detection Smoothing methods

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A hybrid computer architecture for machine vision

A hybrid computer architecture for machine vision

引用

international conference on pattern recognition

作者： M. Pietikainen T. Seppanen P. Alapuranen Department of Electrical Engineering University of Oulu Oulu Finland

A hybrid computer architecture for machine vision which combines the useful properties of different types of architectures is introduced. HYBRID, an experimental hybrid system consisting of specialized Datacube-compatible processors and a transputer network, has been developed in a Sun-3 environment. the VLSI implementation of an edge-preserving smoothing operator for the low-level vision system is described, and the performance of transputer-based systems for higher-level vision is evaluated. Methods for analyzing and optimizing the performance of a hybrid architecture are discussed.< >

关键词： computer architecture Machine vision computer vision Application software image edge detection Smoothing methods Parallel processing Pipelines Very large scale integration Performance analysis

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the VIEW-Station environment: tools and architecture for a platform-independent image-processing workstation

The VIEW-Station environment: tools and architecture for a p...

引用

international conference on pattern recognition

作者： H. Sato H. Okazaki T. Kawai H. Yamamoto H. Tamura Information Systems Research Center Canon Inc. Kawasaki Japan

An image processing workstation called the vision and image engineering workstation, or VIEW-Station, which as developed in order to merge the state-of-the-art software environment of a UNIX workstation and the computing power of the fast image processor, is described. the software system of the VIEW-Station is constructed hierarchically in order to allow device independence in porting to various hardware configurations and to achieve flexibility in developing application systems. An image computing language called V-Sugar, which provides specific data types and a functional notation, allowing image processing algorithms to be expressed simply, is described. the image memory management mechanism, V-server, and the window system extensions, VIEW-Windows, are described. they are integrated to provide an independent basis to hardware configurations.< >

关键词： Workstations image processing Hardware computer architecture Power engineering and energy computer vision Power engineering computing Software systems Application software Memory management

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