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检索条件"任意字段=12th International Conference on Computing and Pattern Recognition, ICCPR 2023"

共 284 条记录，以下是231-240 订阅

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Simplified adaptive approach to efficient morphological image analysis

Simplified adaptive approach to efficient morphological imag...

引用

international conference on pattern recognition

作者： S. Fejes F. Vajda Department of Information Technology KFKI Research Institute of Measurement and Computing Techniques Budapest Hungary

In the paper adaptive application of morphological image processing is analysed and a simplified parameter modification technique is proposed. Based on a novel approach the number of control parameters ("filter-taps") of adaptive operations can be reduced if some a priori information about the input image is available. the convergency behavior and the prediction error of the new adaptation scheme is analyzed and compared to the classical approach. Finally, some applications of the proposed method is demonstrated.

关键词： Image analysis Image processing Morphology Information technology Adaptive filters Morphological operations Shape Runtime Information analysis Information filtering

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How to track efficiently piecewise curved contours with a view to reconstructing 3D objects

How to track efficiently piecewise curved contours with a vi...

引用

international conference on pattern recognition

作者： M.-O. Berger Campus scientifique INRIA Lorraine/CRIN-CNRS Campus scientifique Vandoeuvre-les-Nancy France

this paper addresses the problem of rigid and nonpolyhedral object tracking in complex environments without a priori knowledge neither on objects nor on the camera motion. the key of our approach is to propose a robust curve based tracking algorithm founded on an iterative registration method and exploiting our rigid snake model. In order to ensure the convergence of the tracking process, we then present supervision strategies we have developed to control both the prediction step and the snake convergence. Finally, since recovering accurate contour localization is important for reconstruction task, we propose a cooperative use of the snake model and of a corner detector to finely detect piecewise curved contours.

关键词： Tracking Cameras Convergence Detectors Shape Optical computing Image motion analysis Robustness Layout Noise shaping

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Analytic outlier removal in line fitting

Analytic outlier removal in line fitting

引用

international conference on pattern recognition

作者： N.S. Netanyahu I. Weiss Space Data and Computing Division NASA Goddard Space Flight Center Greenbelt MD USA Center for Automation Research University of Maryland College Park MD USA

the conventional ordinary least squares (OLS) method of fitting a line to a set of data points is very unreliable when the amount of random noise in the input (such as an image) is significant compared with the amount of data that is correlated with the lane itself. In this paper we present an analytic method of separating the data of interest from the outliers. We assume that the overall data (i.e., the line data plus the noise) can be modeled as a mixture of two statistical distributions. Applying a variant of the method of moments (MoM) to the assumed model yields an analytic estimate of the desired line.

关键词： NASA Automation Moment methods Message-oriented middleware Image processing pattern recognition Parameter estimation Educational institutions Least squares methods Noise generators

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Parallel algorithms on compact binary objects

Parallel algorithms on compact binary objects

引用

international conference on pattern recognition

作者： T. Johansson E. Bengtsson Centre for Image Analysis University of Uppsala Uppsala Sweden

For SIMD computers, using virtual processors, a common strategy for mapping the processors on the image data is to apply one processor per pixel. For operations on gray level images it is a good approach, but for operations on binary images many of the available processors are idle and not used in the calculation. this paper presents some common binary operations on a new and more compact representation of the binary objects in an image, which leads to a more efficient processor utilisation and faster algorithms. the implementations are for a Connection Machine/200. the new data representation is tested on a typical application: the separation of touching objects.

关键词： Parallel algorithms Shape Pixel Image analysis Electrical capacitance tomography Testing Concurrent computing Image segmentation High level languages Labeling

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Real-time parallel and cooperative recognition of facial images for an interactive visual human interface

Real-time parallel and cooperative recognition of facial ima...

引用

international conference on pattern recognition

作者： O. Hasegawa E. Yokosawa M. Ishizuka Electro technical Laboratory Tsukuba Japan NTT Basic Research Laboratories Japan Faculty of Engineering University of Tokyo Japan

this paper describes briefly an algorithm both for real-time facial image recognition in unconstrained indoor environments and a human like agent image synthesis which responds to the recognition results. Our simple but effective image recognition algorithm can recognize facial images from moving images, choose one primal face and track the primal face in real-time. therefore, the agent can gaze/glance/etc., at the primal face (the interacting user) during the process. It means a "facial contact" or an "eye contact" can be achieved between the user and the synthesized moving agent, which is very important for friendly human interfaces.

关键词： Face recognition Image recognition Humans History Image generation Feature extraction Concurrent computing Data mining Parallel robots Computerized monitoring

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Parallel scalable libraries and algorithms for computer vision

Parallel scalable libraries and algorithms for computer visi...

引用

international conference on pattern recognition

作者： L.H. Jamieson E.J. Delp S.E. Hambrusch A.A. Khokhar G.W. Cook F. Hameed J.N. Patel Ke Shem Purdue University West Lafayette IN USA Department of Computer Sciences Purdue University West Lafayette IN USA

We describe a project that integrates applications requirements, parallel algorithm design, models of parallel computing, and software tools in order to improve the ability of applications researchers in the fields of computer vision and image processing (CVIP) to realize the performance potential of high performance parallel computers. this objective is achieved by pursuing four directions of research: the development of efficient and practical scalable algorithms for fundamental CVIP problems; the implementation of realistic CVIP scenarios on high performance computers; the development of a scalable, architecture-independent parallel model and a metric for estimating the performance of an algorithm on an existing parallel machine; and the development of prototype software tools. In this paper we describe work in each of these areas.

关键词： Computer vision Application software Software tools Concurrent computing High performance computing Software algorithms Software libraries Parallel algorithms Algorithm design and analysis Parallel processing

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Document segmentation using texture analysis

Document segmentation using texture analysis

引用

international conference on pattern recognition

作者： J.S. Payne T.J. Stonham D. Patel Department of Computing Buckinghamshire College Brunel University High Wycombe Buckinghamshire UK Department of Electrical Engineering Brunel University High Wycombe Uxbridge UK

this paper describes the application of a novel texture recognition strategy, which involves the assembly of n/sup th/ order co-occurrence information within a processing window. the resulting spectrum is processed by a nearest neighbour classifier, and discontinuities in the classification as the operating window scans the image are recognized as texture boundaries. the technique is being applied for the first time to segmenting newsprint, in order to locate the text regions for effective data capture. Previous methods applied to the task discussed in the paper, have used run-length encoding and block analysis, Gabor filters, or component analysis. the co-occurrence method offers significant advantages in processing time and ease of implementation.

关键词： Gabor filters Image segmentation Optical character recognition software Image analysis Image texture analysis Pixel Material storage Image coding Fourier transforms Educational institutions

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Modeling of some spatio-temporal aspects of visual information processing in the retinal neural network

Modeling of some spatio-temporal aspects of visual informati...

引用

international conference on pattern recognition

作者： A. Faure N. Shevtsova A. Golovan A. Klepach O. Cachard I. Rybak Laboratory Logos University of Le Havre France AB Kogan Research Institute for Neurocybernetics Rostov State University Rostov on Donu Russia University of Pennsylvania Philadelphia PA USA

the problems of active vision and of visual perception and recognition in the dynamic environment demand a very careful consideration of dynamic aspects of early visual processing. In the first turn it concerns the finding out the relationships between the dynamic properties of sensory processing elements (retinal neurons), velocities of movements of elements of the visible world, and general structure of the retinal receptive fields. In this work we have tried to consider the above issues using a very simple model of the retinal neural network.

关键词： Information processing Retina Neural networks Image resolution Neurons Visual perception Intelligent networks Eyes Biology computing Computer vision

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Accurate computation of optical flow by using layered motion representations

Accurate computation of optical flow by using layered motion...

引用

international conference on pattern recognition

作者： S. Hsu P. Anandan S. Peleg David Samoff Research Center Inc. Princeton NJ USA Institute of Computer Science Hebrew University Jerusalem Israel

this paper presents a framework combining two prevailing approaches to motion analysis: optical flows which describes motion at each point, and methods that define global motions for larger regions. Image motion is represented by layers-image regions whose coherent motion can be approximated by some parametric motion model. the motion at every point is obtained by the parametric motion estimate of the entire layer, corrected by a residual flow which captures the difference between the real image motion and the layer's motion model. the new approach is able to construct accurate flow fields in the presence of multiple motions, motion boundaries, and transparent motions.

关键词： Optical computing Image motion analysis Motion estimation Nonlinear optics Pixel Motion analysis Particle beam optics Spatial coherence Layout Tires

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Physics-based object pose and shape estimation from multiple views

Physics-based object pose and shape estimation from multiple...

引用

international conference on pattern recognition

作者： M. Chan D. Metaxas Department of Computer and Information Science University of Pennsylvania Philadelphia PA USA

this paper presents a new algorithm for object pose and shape estimation from multiple views. Using a qualitative shape recovery scheme the authors first segment the image into parts which belong to a vocabulary of primitives. Based on the additional constraints provided by the qualitative shapes the authors extend their physics-based framework to allow object pose and shape estimation from stereo images where the two cameras have arbitrary relative orientations. the authors then generalize their algorithm to integrate measurements from multiple views. To recover more complex objects the authors generalize the definition for the global bending deformation. the authors also present an algorithm for model discretization which evenly tessellates the model surface. the authors demonstrate the usefulness of their technique in experiments involving real images from of a variety of object shapes which may be partially occluded.

关键词： Shape Deformable models Image segmentation Cameras Physics computing Information science Vocabulary Data mining Noise robustness Noise shaping

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