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检索条件"任意字段=Proceedings - IEEE Computer Society Conference on Pattern Recognition and Image Processing."

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Non parametric motion recognition using temporal multiscale Gibbs models

Non parametric motion recognition using temporal multiscale ...

引用

conference on computer Vision and pattern recognition (CVPR)

作者： R. Fablet P. Bouthemy IRISA CNRS Campus universitaire de Beaulieu Rennes France IRISA INRIA Campus universitaire de Beaulieu Rennes France

ISBN: (纸本)0769512720

We present an original approach for non parametric motion analysis in image sequences. It relies on the statistical modeling of distributions of local motion-related measurements computed over image sequences. Contrary to previously proposed methods, the use of temporal multiscale Gibbs models allows us to handle in a unified statistical framework both spatial and temporal aspects of motion content. The important feature of our probabilistic scheme is to make the exact computation of conditional likelihood functions feasible and simple. It enables us to straightforwardly achieve model estimation according to the ML criterion and to benefit from a statistical point of view for classification issues. We have conducted motion recognition experiments over a large set of real image sequences comprising various motion types such as temporal texture samples, human motion examples and rigid motion situations.

关键词： image sequences Motion analysis image motion analysis image analysis image sequence analysis image recognition computer vision Optical computing Layout image texture analysis

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Robust super-resolution

Robust super-resolution

引用

conference on computer Vision and pattern recognition (CVPR)

作者： A. Zomet A. Rav-Acha S. Peleg School of Computer Science and Engineering Hebrew University of Jerusalem Jerusalem Israel

ISBN: (纸本)0769512720

A robust approach for super-resolution is, presented, which is especially valuable in the presence of outliers. Such outliers may be due to motion errors, inaccurate blur models, noise, moving objects, motion blur etc. This robustness is needed since super-resolution methods are very sensitive to such errors. A robust median estimator is combined in an iterative process to achieve a super resolution algorithm. This process can increase resolution even in regions with outliers, where other super resolution methods actually degrade the image.

关键词： image resolution Noise robustness High-resolution imaging Degradation Motion segmentation computer vision Vectors computer science Iterative algorithms image reconstruction

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Fast and memory efficient JBIG2 encoder

Fast and memory efficient JBIG2 encoder

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International conference on Acoustics, Speech, and Signal processing.(ICASSP)

作者： Yan Ye P. Cosman Electrical and Computer Engineering Department University of California San Diego La Jolla CA USA

We propose a fast and memory efficient encoding strategy for text image compression with the JBIG2 standard. The encoder splits up the input image into horizontal stripes and encodes one stripe at a time. Construction of the current dictionary is based on updating dictionaries from previous stripes. We describe separate updating processes for the singleton exclusion dictionary and for the modified-class dictionary. Experiments show that, for both dictionaries, splitting the page into two stripes can save 30% of encoding time and 40% of physical memory with a small loss of about 1.5% in compression. Further gains can be obtained by using more stripes but with diminishing returns. The same updating processes are also applied to compressing multi-page document images and shown to improve compression by 8-10% over coding a multi-page document as a collection of single-page documents.

关键词： Dictionaries image coding pattern matching Decoding Drives image segmentation Region 3 Hamming distance Scanning probe microscopy Engineering profession

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Efficient computation of adaptive threshold surfaces for image binarization

Efficient computation of adaptive threshold surfaces for ima...

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conference on computer Vision and pattern recognition (CVPR)

作者： I. Blayvas A. Bruckstein R. Kimmel Computer Science Department Technion-Israel Institute of Technology Haifa Israel

ISBN: (纸本)0769512720

The problem of binarization of gray level images acquired under nonuniform illumination is reconsidered. Yanowitz and Bruckstein (1989) proposed to use an adaptive threshold surface, determined by interpolation of the image gray levels at points where the image gradient is high. The rationale is that a high image gradient indicates probable object edges, and there the image values are between the object and background gray levels. The threshold surface was determined by successive overrelaxation as the solution of the Laplace equation. This work proposes a different method to determine an adaptive threshold surface. In this new method, inspired by multiresolution approximation, the threshold surface is constructed with considerably lower computational complexity and is smooth, yielding faster image binarizations and better visual performance.

关键词： Laplace equations Lighting Computational complexity Pixel computer science Interpolation Relaxation methods Degradation Surface waves

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Efficient and robust vehicle localization

Efficient and robust vehicle localization

引用

ieee International conference on image processing

作者： Hao Yang Jianguang Lou Hongzan Sun Weiming Hu Tieniu Tan National Laboratory of Pattern Recognition NLPR Institute of Automation Chinese Academy and Sciences China

ISBN: (纸本)0780367251

We propose a novel algorithm for efficient and robust pose determination of vehicles in traffic scenes from single monocular intensity images using calibrated cameras. We consider the pose determination process as a series of evolutions from initial pose to correct pose in 3D space, which can be decomposed into two independent 3D motions: translation and rotation. The translation parameters are obtained based on point-to-line-segment distance (PLS distance), while the rotation parameters are determined by geometric relationships among a set of specially constructed but imaginary planes. Closed-form solutions to both sub-problems are obtained, thus avoiding the usual shortcoming of relatively high computational cost of traditional 3D-model based approaches. In addition, vertex neighborhood constraint (VNC) is introduced to improve the robustness of the method. Experimental results show that the algorithm works well even under severe occlusion and clutter.

关键词： Robustness Vehicles Layout Closed-form solution image recognition computer vision image segmentation Sun Laboratories pattern recognition

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Inference of directional spatial relationship between points: a probabilistic approach

Inference of directional spatial relationship between points...

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ieee International conference on image processing

作者： S.M.R. Dehak I. Bloch H. Maitre Department TSI-CNRS URA 820 Ecole Nationale Superieure des Telecommunications Paris France

This paper develops an evaluation of the position probability of a point C which is known to be in a direction /spl beta/ with respect to a point B, itself in the direction /spl alpha/ with respect to another point A. The obtained results can be used in the problem of inference of directional relationships in the case of spatial reasoning.

关键词： Navigation Layout Mobile robots pattern recognition Information systems Computational Intelligence society Natural languages Costs Indexes Spatial databases

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Automated cartridge identification for firearm authentication

Automated cartridge identification for firearm authenticatio...

引用

conference on computer Vision and pattern recognition (CVPR)

作者： Jie Zhou Le-ping Xin Da-shan Gao Chang-shui Zhang D. Zhang Department of Automation Tsinghua University Beijing China Department of Computing Hong Kong Polytechnic University Hong Kong China

ISBN: (纸本)0769512720

In this paper, an algorithm of automated cartridge identification for firearm authentication is proposed. The ejector impression is used to calibrate the cartridge image. Features of the firing pin impression and the breach face impression are extracted using an active snake model and local orientation analysis, respectively. Different features are then integrated to make a final decision using a support vector machine. Experimental results illustrate the effectiveness of our algorithm.

关键词： Authentication Feature extraction Support vector machines Optical noise Optical microscopy image storage Shape Automation Testing Fingerprint recognition

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Structure and motion estimation with expectation maximization and extended Kalman smoother for continuous image sequences

Structure and motion estimation with expectation maximizatio...

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conference on computer Vision and pattern recognition (CVPR)

作者： Yongduek Seo Ki-Sang Hong IIP Laboratory Pohang University of Science and Technology South Korea

ISBN: (纸本)0769512720

This paper deals with the problem of estimating structure and motion from long continuous image sequences, applying the expectation maximization algorithm based on an extended Kalman smoother to impose time-continuity of the motion parameters. By repeatedly estimating the state transition matrix of the dynamic equation and the parameters of noise processes in dynamic and measurement equations, this optimization gives maximum likelihood estimates of the motion and structure parameters. Practically, this research is essential for dealing with a long video-rate image sequence with partially unknown system equation and noise. The algorithm is implemented and tested for a real image sequence.

关键词： Motion estimation Kalman filters image sequences Equations State estimation Parameter estimation Motion measurement Noise measurement Maximum likelihood estimation Testing

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On the perceptual organization of texture and shading flows: from a geometrical model to coherence computation

On the perceptual organization of texture and shading flows:...

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conference on computer Vision and pattern recognition (CVPR)

作者： O. Ben-Shahar S.W. Zucker Department of Computer Science Yale University New Heaven CT USA Department of Computer Science and Electrical Engineering Yale University New Heaven CT USA

ISBN: (纸本)0769512720

Locally parallel dense patterns - sometimes called texture flows define a perceptually coherent structure which is important to image segmentation, edge classification, shading analysis, and shape interpretation. This paper develops the notion of texture flow from a geometrical point of view to argue that local measurements of such structures must incorporate two curvatures. We show how basic theoretical considerations lead to a unique model for the local behavior of the flow and allow for the specification of consistency constraints between nearby measurements. The computation of globally coherent structure via neighborhood relationships is demonstrated on synthetic and natural images, and is compared to orientation diffusion.

关键词： Computational modeling Solid modeling Coherence Fluid flow measurement image segmentation image analysis image texture analysis pattern analysis Shape Constraint theory

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A region-based MRF model for unsupervised segmentation of moving objects in image sequences

A region-based MRF model for unsupervised segmentation of mo...

引用

conference on computer Vision and pattern recognition (CVPR)

作者： Y. Tsaig A. Averbuch Department of Computer Science School of Mathematical Sciences Tel-Aviv University Tel-Aviv Israel

ISBN: (纸本)0769512720

This paper addresses the problem of segmentation of moving objects in image sequences, which is of key importance in content-based applications. We transform the problem into a graph labeling problem over a region adjacency graph (RAG), by introducing a Markov random field (MRF) model based on spatio-temporal information. The initial partition is obtained by fast, color-based watershed segmentation. The motion of each region is estimated and validated in a hierarchical framework. A dynamic memory, based on object tracking, is incorporated into the segmentation process to maintain temporal coherence. The performance of the algorithm is evaluated on several real-world image sequences.

关键词： image segmentation image sequences Motion estimation Application software Markov random fields Partitioning algorithms Video coding Mathematical model computer science Labeling

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