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Scalable parallel processing design for real time handwritten OCR

Scalable parallel processing design for real time handwritte...

引用

international conference on pattern recognition

作者： A. Cuhadar A.C. Downton Electronic Systems Engineering Department University of Essex Colchester UK

this paper presents a generalised technique for parallelising embedded computer vision and pattern recognition applications and shows how it has been applied to the recognition of handwritten postcodes on envelopes. the technique is based upon the utilisation of pipelines of processor farms (PPF), and is applicable to any embedded system with continuous input/output data streams. the postcode recogniser combines temporal multiplexing and data parallelism to achieve a speedup of 21.4 compared with the original sequential application, using a total of 52 transputers.

关键词： Parallel processing Process design Optical character recognition software Pipelines Dictionaries Handwriting recognition Concurrent computing throughput Systems engineering and theory Computer vision

来源：评论

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A vision method for computing 3-D location and shape parameters of a cone

A vision method for computing 3-D location and shape paramet...

引用

international conference on pattern recognition

作者： Tsorng-Lin Chia Zen Chen Department of Electrical Engineering Cheng Institute of Technology Taoyuan Taiwan Institute of Computer Science and Information Engineering National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)0818662654

A simple vision method to determine the 3-D location and shape parameters of a cone by using structured light is presented. the key concept in the proposed method is to convert the complex curved stripe pattern to an equivalent, but simpler, linear stripe pattern. the conic surface patch lying between the two visible silhouette edges is replaced by the plane defined by the two silhouette edges that cuts the cone. the appropriate geometric models are given to compute the cone axis and shape parameters representing the height of the cone and the radius of the cone base.

关键词： Computer vision Shape Cameras Surface fitting Computer science Solid modeling Inspection Manufacturing Calibration Stereo vision

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Locating facial features using SOFM

Locating facial features using SOFM

引用

international conference on pattern recognition

作者： B. Takacs H. Wechsler Institute for Computational Sciences George Mason University Fairfax VA USA Department of Computer Science George Mason University Fairfax VA USA

We describe a novel and general approach for the detection of facial features such as the eyes. the approach is based on biologically motivated processing and classification schemes. the processing involves retinal sampling along P-type lattices and micro saccades, while classification is done using the self-organizing feature map (SOFM). the optimal set of eye templates is found by an enhanced SOFM approach using cross-validation training. Experimental results are presented to prove the feasibility of our approach.

关键词： Facial features Face detection Face recognition Humans pattern recognition Feature extraction Principal component analysis Biology computing Eyes Retina

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Videoconferencing using spatially varying sensing with multiple and moving foveae

Videoconferencing using spatially varying sensing with multi...

引用

international conference on pattern recognition

作者： A. Basu K.J. Wiebe Department of Computing Science University of Alberta Edmonton AB Canada

A new method for videoconferencing using the concept of spatially varying sensing is introduced. Various techniques are discussed for combining information obtained from multiple points-of-interest (foveae) in an image. A fovea can be used to follow a moving object of interest as well. A fast videoconferencing prototype for desktop computers is also described.

关键词： Teleconferencing Image coding Virtual reality Discrete cosine transforms Entropy Spatial resolution Image converters Transform coding Prototypes Data compression

来源：评论

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Matching images by comparing their gradient fields

Matching images by comparing their gradient fields

引用

international conference on pattern recognition

作者： D. Scharstein Department of Computer Science Cornell University Ithaca NY USA

We present a simple yet powerful method to perform point-to-point matching between two images. the method uses an evidence measure, whose value for a given displacement reflects both the similarity between two locations and the confidence in a correct match. the measure is based on the gradient fields of the images, and can be computed quickly and in parallel. Accumulating the evidence measure for different displacements allows (1) stable computation, of correspondences without smoothing across motion boundaries, and (2) detection of dominant motions. the method works well both on highly textured images and on images containing regions of uniform intensities, and can be used for a variety of applications, including stereo, motion, and object tracking.

关键词： Displacement measurement Displacement control Motion measurement Smoothing methods Motion detection Stereo vision Area measurement Computer science Concurrent computing Application software

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A new approach to qualitative stereo

A new approach to qualitative stereo

引用

international conference on pattern recognition

作者： Y. Hel-Or S. Edelman Department of Applied Mathematics and Computer Science Weizmann Institute of Science Rehovot Israel

Nonmetric multidimensional scaling (MDS) is a family of algorithms that allow one to derive a quantitative representation of data from a set of qualitative measurements which must satisfy certain simple constraints. As a tool for vision, MDS combines the advantages of both qualitative and classical approaches, by relying, on the one hand, on an ordinal-scale input representation, and by supporting, on the other hand, the extraction of metric information. the present paper illustrates an application of MDS to the recovery of depth from the rank order of binocular disparity differences for a set of points. Our results indicate that multidimensional scaling constitutes a promising approach to the integration of biological and computational insights into the problem of depth perception.

关键词： Multidimensional systems Computer vision Stereo vision Mathematics Computer science Data mining Biology computing Noise robustness Cameras Difference equations

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A maximum entropy approach to pairwise data clustering

A maximum entropy approach to pairwise data clustering

引用

international conference on pattern recognition

作者： J.M. Buhmann T. Hofmann Institut für Informatik III Universität Bonn Bonn Germany

Partitioning a set of data points which are characterized by their mutual dissimilarities instead of an explicit coordinate representation is a difficult, NP-hard combinatorial optimization problem. the authors formulate this optimization problem of a pairwise clustering cost function in the maximum entropy framework using a variational principle to derive corresponding data partitionings in a d-dimensional Euclidian space. this approximation solves the embedding problem and the grouping of these data into clusters simultaneously and in a selfconsistent fashion.

关键词： Entropy Extraterrestrial measurements Embedded computing Symmetric matrices Cost function Data analysis Psychology Noise reduction Noise measurement Data visualization

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A Bayesian framework for regularization

A Bayesian framework for regularization

引用

international conference on pattern recognition

作者： D. Keren M. Werman Department of Mathematics and Computer Science University of Haifa Haifa Israel Institute of Computer Science Hebrew University Jerusalem Israel

Regularization looks for an interpolating function which is close to the data and also "smooth". this function is obtained by minimizing an error functional which is the weighted sum of a "fidelity term" and a "smoothness term". However, using only one set of weights does not guarantee that this function will be the MAP estimate. One has to consider all possible weights in order to find the MAP function. Also, using only one combination of weights makes the algorithm very sensitive to the data. the solution suggested here is through the Bayesian approach: a probability distribution over all weights is constructed and all weights are considered when reconstructing the function or computing the expectation of a linear functional on the function space.

关键词： Bayesian methods Shape Computer science Probability distribution Computer vision Distributed computing Mathematics Optical sensors Image motion analysis Cost function

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Parallel processing for spatial grouping and matching

Parallel processing for spatial grouping and matching

引用

international conference on pattern recognition

作者： R. Nevatia C.C. Reinhart Institute for Robotics and Intelligent Systems University of Southern California Los Angeles CA USA Analog Image Processing Rockwell Science Center Inc. Thousand Oaks CA USA

In this paper, we identify the computational requirements for structural pattern analysis, particularly for the operations of spatial grouping and matching. We describe two such algorithms that are in wide use here at USC and discuss approaches to reducing their execution times via parallel implementation. We provide brief descriptions and results of two research projects geared generally, toward the parallel implementation of computer vision systems and specifically, towards these algorithms.

关键词： Parallel processing Computer architecture Computer vision Intelligent robots Image edge detection Concurrent computing Hardware Software algorithms Intelligent systems Computational intelligence

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Time-varying motion estimation using orthogonal polynomials and applications

Time-varying motion estimation using orthogonal polynomials ...

引用

international conference on pattern recognition

作者： S. Ayer P. Schroeter P. Brigger Electrical Engineering Department Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne Switzerland

this paper presents a hierarchical motion estimation method considering both a large spatial and temporal support. the problem of motion estimation is formulated as a time-varying parameter estimation problem. the main advantage of the proposed algorithm is its ability to constrain the computation of the flow field spatially and temporally at the same time, by defining each motion parameter as a linear combination of some orthogonal time functions. the number of time basis varies according to the complexity of the movement and is determined automatically by means of a multiresolution approach and of statistical tests. We also present two different applications which underline the validity of the chosen approach.

关键词： Motion estimation Polynomials Motion analysis Parameter estimation Image motion analysis Image segmentation Spatial resolution Optical signal processing Optical computing Image sequences

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