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[1990] Proceedings. 10th International Conference on Pattern Recognition最新文献

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Silt: the bit-parallel approach 淤泥:位并行方法
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119378
R. Barman, M. Bolotski, D. Camporese, J. Little
{"title":"Silt: the bit-parallel approach","authors":"R. Barman, M. Bolotski, D. Camporese, J. Little","doi":"10.1109/ICPR.1990.119378","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119378","url":null,"abstract":"A particular form of parallelism, called bit-parallelism, is introduced. A bit-parallel organization distributes each bit of a data item to a different processor. Bit-parallelism allows computation that is sublinear with word size for such operations as integer addition, arithmetic shifts, and data moves. The implications of bit-parallelism for system architecture are analyzed. An implementation of a bit-parallel architecture based on a mesh with a bypass network is presented. Using a conservative estimate for cycle time, a Silt processor performs 64-b integer additions more than 10 times faster than the Connection Machine-2. Using current CMOS technology, a 16 M processor Silt system would be capable of nearly 500 billion 32-b adds per second. The application of the architecture to low-level vision algorithms is discussed.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125893115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
An object-oriented language for image and vision execution (OLIVE) 面向对象的图像和视觉执行语言(OLIVE)
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119431
M. Flickner, M. Lavin, Sujata Das
{"title":"An object-oriented language for image and vision execution (OLIVE)","authors":"M. Flickner, M. Lavin, Sujata Das","doi":"10.1109/ICPR.1990.119431","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119431","url":null,"abstract":"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.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130175095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
An experimental page layout recognition system for office document automatic classification: an integrated approach for inductive generalization 一种用于办公文档自动分类的页面布局识别实验系统:一种综合的归纳归纳方法
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118164
F. Esposito, D. Malerba, G. Semeraro, E. Annese, G. Scafuro
{"title":"An experimental page layout recognition system for office document automatic classification: an integrated approach for inductive generalization","authors":"F. Esposito, D. Malerba, G. Semeraro, E. Annese, G. Scafuro","doi":"10.1109/ICPR.1990.118164","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118164","url":null,"abstract":"A novel approach to automatic classification of digitized office documents based on the inductive generalization of their layout style, is presented. It is supported by the observation that for a number of printed documents it is possible to find a set of relevant and invariant layout features. These are geometrical characteristics automatically detected through a segmentation and layout analysis process. The learning step, in which significant examples of document classes are used to train the classification system, involves the novel idea of integrating parametric (numerical) and conceptual (symbolic) learning methods.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"i 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130245398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 65
The synchronous dataflow machine: a computer architecture for real time image processing 同步数据流机:用于实时图像处理的计算机体系结构
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119397
A. Gunzinger, S. Mathis, W. Guggenbühl
{"title":"The synchronous dataflow machine: a computer architecture for real time image processing","authors":"A. Gunzinger, S. Mathis, W. Guggenbühl","doi":"10.1109/ICPR.1990.119397","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119397","url":null,"abstract":"A parallel computer architecture for real-time image processing is described. The architecture centers on the direct mapping of a static dataflow graph into hardware: each node (or group of nodes) is replaced by a processing element. The processing elements are connected by a flexible and fast communication network based on multiple interruptible buses. A prototype of the system has been built. Many low-level image processing algorithms run in real time at video rate. Applications of the system include real-time computer vision, real-time image enhancement, robotics, and autonomous systems. A color classification algorithm for autonomous vehicle guidance runs at video rate (50 frames/s). For this application, more than 200 million instructions (VAX equivalent) are executed.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127679680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Analyzing oriented textures through phase portraits 通过相位肖像分析定向纹理
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118126
A. R. Rao, R. Jain
{"title":"Analyzing oriented textures through phase portraits","authors":"A. R. Rao, R. Jain","doi":"10.1109/ICPR.1990.118126","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118126","url":null,"abstract":"An attempt is made to develop a solution for signal-to-symbol transformation in the domain of flowlike or oriented texture. The geometric theory of differential equations is used to derive a symbol set based on the visual appearance of phase portraits. This theory provides a technique for describing textures both qualitatively and quantitatively. An attractive feature of this symbol set is that it is domain independent and makes no assumptions about the kind of texture that may be present. The computational framework for starting with a given oriented texture is provided, and its symbolic representation is derived. This is based on computing the orientation field for the texture and then using a nonlinear least-squares technique over successive windows to determine the changing spatial behavior of the texture. Results of the application of this technique to real texture images are presented.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116215866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
A VLSI architecture for difference picture-based dynamic scene analysis 基于差分图像的动态场景分析的VLSI架构
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119411
N. Ranganathan, R. Mehrotra
{"title":"A VLSI architecture for difference picture-based dynamic scene analysis","authors":"N. Ranganathan, R. Mehrotra","doi":"10.1109/ICPR.1990.119411","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119411","url":null,"abstract":"An efficient parallel architecture that exploits the parallelism and pipelining possible in the difference picture-based technique (IEEE Trans. on Pattern Analysis and Machi Intelligence, vol. PAMI-3, no.5, p.489-543, (1981); Computer, p.12-18, Aug. (1981)) is presented for dynamic scene analysis. Each processor is organized as a pipeline, and the processor architecture is simple enough that the motion detection and classification system can be implemented on a single VLSI chip. The proposed VLSI architecture and the design of the various components of the basic processor are described. VLSI chip implementation issues are discussed.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121129971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A highly robust estimator for computer vision 一种高度鲁棒的计算机视觉估计器
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118162
X. Zhuang, R. Haralick
{"title":"A highly robust estimator for computer vision","authors":"X. Zhuang, R. Haralick","doi":"10.1109/ICPR.1990.118162","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118162","url":null,"abstract":"The authors present a highly robust estimator called an MF-estimator for general regression. It is argued that the kind of estimators needed by computer vision must be highly robust and that the classical robust estimators do not render a high robustness. It is explained that the high robustness becomes possible only through partially but completely modeling the unknown log likelihood function. Partial modeling explores a number of important heuristics implicit in the regression problem and takes place by taking them into consideration with the Bayes statistical decision rule, while maximizing the log likelihood function. Experiments with the simplest location estimation showed that the performance of the MF-estimator was superior to that of the classical M-estimator.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121137800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Integrated parallel image processings on a pipelined MIMD multi-processor system PSM 基于流水线多处理器系统的集成并行图像处理
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119398
K. Deguchi, Kazuya Tago, I. Morishita
{"title":"Integrated parallel image processings on a pipelined MIMD multi-processor system PSM","authors":"K. Deguchi, Kazuya Tago, I. Morishita","doi":"10.1109/ICPR.1990.119398","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119398","url":null,"abstract":"Efficient image processing from a low level to a higher level on a PSM system is described. PSM is a multiprocessor system architecture with pipelined multiple-instruction multiple-data (MIMD) processors, shared memory, and a multistage interconnection network designed for high-speed parallel image processing. A parallel image processor, PSM-32, which is being constructed based on the PSM architecture, is discussed. To ensure total efficient instruction and data flows in the presence of the memory access delays commonly occurring on a multistage interconnection network machine, an architecture with a pipelined MIMD processor is proposed for the PSM system.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116384785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Tissue-type discrimination in magnetic resonance images 磁共振图像中的组织类型识别
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118172
David Y. Amamoto, R. Kasturi, A. Mamourian
{"title":"Tissue-type discrimination in magnetic resonance images","authors":"David Y. Amamoto, R. Kasturi, A. Mamourian","doi":"10.1109/ICPR.1990.118172","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118172","url":null,"abstract":"A method developed for classifying each location in a set of magnetic resonance (MR) images by tissue type is described. Three MR images of a region of interest are acquired using spin-echo pulse sequences. The sequences used to acquire these images are specifically defined to allow the calculation of MR-related physical parameters from the image intensity data. After preprocessing operators are applied to the original images, the image intensity data are used to calculate three MR-related parameters of each location. Then, in a supervised training environment, this calculated data set is used with the acquired image data set in a minimum-distance classifier to assign a class-specific color or gray level to each location in the image. Following the classification and formation of the tissue-map image, a set of edge detection routines is applied to generate tissue boundary images for all or a selected-set of tissue types. Experimental results verify that the method is capable of accurately distinguishing between major tissue types in a region of interest.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125977578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
A reconfigurable and hierarchical parallel processing architecture: performance results for stereo vision 一种可重构的分层并行处理架构:立体视觉的性能结果
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119388
A. Choudhary, Subhodev Das, N. Ahuja, J. Patel
{"title":"A reconfigurable and hierarchical parallel processing architecture: performance results for stereo vision","authors":"A. Choudhary, Subhodev Das, N. Ahuja, J. Patel","doi":"10.1109/ICPR.1990.119388","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119388","url":null,"abstract":"A multiprocessor architecture called NETRA is discussed. It is highly reconfigurable and does not involve the use of complex interconnection schemes. The topology of this multiprocessor is recursively defined and is therefore easily scalable from small to large systems. It has a tree-type hierarchical architecture featuring leaf nodes that consist of a cluster of small but powerful processors connected via a programmable crossbar with selective broadcast capability. The architecture is simulated on a hypercube multiprocessor and the performance of one processor cluster is evaluated for stereo-vision tasks. The particular stereo algorithm selected for implementation requires computation of the two-dimensional fast Fourier transform (2-D FFT), template matching, histogram computation, and least-squares surface fitting. Static partitioning of data is used for the data-independent tasks such as 2-D FFT and dynamic scheduling, and load balancing is used for the data-dependent tasks of feature matching and disambiguation.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"21 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126074452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
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