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

共 8406 条记录，以下是4701-4710 订阅

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On the fundamental limits of reconstruction-based super-resolution algorithms

On the fundamental limits of reconstruction-based super-reso...

引用

conference on computer Vision and pattern recognition (CVPR)

作者： Zhouchen Lin Heung-Yeung Shum Microsoft Research China China

ISBN: (纸本)0769512720

Super-resolution is a technique that produces higher resolution images from low resolution images (LRIs). In practice, the improvement in resolution is limited. The aim of this paper is to address the problem of whether fundamental limits exist for super-resolution? Specifically, this paper provides explicit limits for a major class of super-resolution algorithms, called reconstruction-based algorithms, under both real and synthetic conditions. Our analysis is based on perturbation theory of linear systems. We also show that a sufficient number of LRIs can be determined to reach the limit. Both real and synthetic experiments are carried out to verify our analysis.

关键词： image resolution image reconstruction Noise level Pixel Equations Linear systems Sampling methods Maximum likelihood estimation

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On computing exact visual hulls of solids bounded by smooth surfaces

On computing exact visual hulls of solids bounded by smooth ...

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conference on computer Vision and pattern recognition (CVPR)

作者： S. Lazebnik E. Boyer J. Ponce Beckman Institute University of Illinois Urbana USA Movi-Gravir-Inria Rhône-Alpes Montbonnot Saint Martin France

ISBN: (纸本)0769512720

This paper presents a method for computing the visual hull that is based on two novel representations: the rim mesh, which describes the connectivity of contour generators on the object surface; and the visual hull mesh, which describes the exact structure of the surface of the solid formed by intersecting a finite number of visual cones. We describe the topological features of these meshes and show how they can be identified in the image using epipolar constraints. These constraints are used to derive an image-based practical reconstruction algorithm that works with weakly calibrated cameras. Experiments on synthetic and real data validate the proposed approach.

关键词： Solids Cameras Surface reconstruction Reconstruction algorithms image reconstruction Shape Mesh generation Graphics image sequences Surface treatment

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Scene text extraction and translation for handheld devices

Scene text extraction and translation for handheld devices

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conference on computer Vision and pattern recognition (CVPR)

作者： I. Haritaoglu IBM Almaden Research Center San Jose CA USA

ISBN: (纸本)0769512720

We describe a scene text extraction system for handheld devices to provide enhanced information perception services to the user. It uses a color camera attached to a personal digital assistant as an input device to capture scene images from the real world and it employs image enhancement and segmentation methods to extract written information from the scene, convert them to text information and show them to the user so that he/she can see both the real world and information together. We implemented a prototype application: an automatic sign/text language translation for foreign travelers, where people can use the system whenever they want to see text or signs in their own language where they are originally written in a foreign language in the scene.

关键词： Layout Handheld computers Data mining Handicapped aids Digital cameras Personal digital assistants image enhancement image segmentation image converters Prototypes

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Production of video images by computer controlled cameras and its application to TV conference system

Production of video images by computer controlled cameras an...

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conference on computer Vision and pattern recognition (CVPR)

作者： M. Onishi T. Kagebayashi K. Fukunaga Graduate School of Engineering Osaka Prefecture University Sakai Osaka Japan

ISBN: (纸本)0769512720

TV conference systems have been widely used recently. A participant of each site proceeds with a TV conference using video image on a screen and voice of a partner site. In this case, a fixed video camera shoots a scene of a site in general. The video image taken by a fixed camera, however, is lacking in changes. Also the fixed camera does not take shots efficiency that the participants of a partner site pay attention. As one of the candidates to avoid these defects, there is a method that the computer-controlled cameras shoots the scene. In this paper we propose an algorithm of shooting the best shot by computer-controlled cameras. The shooting algorithm is mainly decided by estimating an area of the image with high degree of attention, which is given by not only visual information but also auditory information. By using an experimental system, we confirm the effectiveness of our approach by examining a questionnaire from the participants of TV conferences.

关键词： Videoconference Cameras Application software TV Layout Spatiotemporal phenomena Production systems Control systems Human voice Appraisal

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Morphological color quantization

Morphological color quantization

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conference on computer Vision and pattern recognition (CVPR)

作者： S. Gibson R. Harvey School of Information Systems University of East Anglia Norwich UK

ISBN: (纸本)0769512720

Color histograms are a central feature in many image retrieval systems. Indeed they are part of the MPEG-7 standard. But histograms suffer from the "curse of dimensionality " in which the number of bins increases exponentially with the number of dimensions. There is therefore an imperative for methods for simplifying histograms. This paper presents a new method for simplifying histograms based on a cascade of increasing-scale graph morphology filters. The system we choose preserves scale space causality and so preserves the modes of the histogram. The method is quick to compute so is therefore a practically useful feature. We present results using the MPEG-7 Common Color Dataset that show that these new compressed features have a retrieval performance that is equivalent to full histograms.

关键词： Quantization Histograms image retrieval MPEG 7 Standard Information retrieval image coding Information systems Morphology computer vision Application software

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Learning spatially localized, parts-based representation

Learning spatially localized, parts-based representation

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conference on computer Vision and pattern recognition (CVPR)

作者： S.Z. Li Xin Wen Hou Hong Jiang Zhang Qian Sheng Cheng Beijing Sigma Center Microsoft Research China Beijing China Microsoft Research Limited UK Institute of Mathematical Sciences Peking University Beijing China

ISBN: (纸本)0769512720

In this paper, we propose a novel method, called local non-negative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual patterns. An objective function is defined to impose a localization constraint, in addition to the non-negativity constraint in the standard NMF. This gives a set of bases which not only allows a non-subtractive (part-based) representation of images but also manifests localized features. An algorithm is presented for the learning of such basic components. Experimental results are presented to compare LNMF with the NMF and PCA methods for face representation and recognition, which demonstrates advantages of LNMF.

关键词： Principal component analysis Feature extraction pattern analysis Pixel Decorrelation Independent component analysis Face recognition pattern recognition Humans image analysis

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Sequential knowledge-driven scene recognition model

Sequential knowledge-driven scene recognition model

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conference on computer Vision and pattern recognition (CVPR)

作者： D.A. Chernyak L.W. Stark VISX Inc. Santa Clara CA USA Neurology and Telerobotics Unit University of California Berkeley Berkeley CA USA

ISBN: (纸本)0769512720

Eye movements are an important aspect of human visual behavior. The temporal and space-variant nature of sampling a visual scene requires frequent attentional gaze shifts, saccades, to fixate onto different parts of an image. Experimental evidence suggests that fixations are often directed towards the most informative regions in the visual scene. We develop a model and its simulation that can select such regions based on prior knowledge of similar scenes. Having representations of scene categories as a probabilistic combination of hypothetical objects, i.e., prototypical regions with certain properties, it is possible to assess the likely contribution of each image region to the successive recognition process. Using conditional probabilities for each region given the scene category, the model can then predict its informative value and initiate a sequential spatial information-gathering algorithm, analogous to an eye movement saccade to a new fixation. This algorithm establishes the most likely scene category for a given image.

关键词： Layout image segmentation Partitioning algorithms image motion analysis Humans image sampling image recognition Predictive models Robustness Shape

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The 3D line motion matrix and alignment of line reconstructions

The 3D line motion matrix and alignment of line reconstructi...

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conference on computer Vision and pattern recognition (CVPR)

作者： A. Bartoli P. Sturm INRIA Rhone-Alpes Ismier France

ISBN: (纸本)0769512720

We study the problem of aligning two 3D line reconstructions expressed in Plucker line coordinates. We introduce the 6/spl times/6 3D line motion matrix that acts on Plucker coordinates in projective, affine or Euclidean space. We characterize its algebraic properties and its relation to the usual 4/spl times/4 point motion matrix, and propose various methods for estimating 3D motion from line correspondences, based on image-related and 3D cost functions. We assess the quality of the different estimation methods using simulated data and real images.

关键词： image reconstruction Motion estimation Cameras Tracking Cost function Computational modeling computer vision image segmentation Visual servoing Motion detection

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The contracting curve density algorithm and its application to model-based image segmentation

The contracting curve density algorithm and its application ...

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conference on computer Vision and pattern recognition (CVPR)

作者： R. Hanek Institut für Informatik Technical University of München Munchen Germany

ISBN: (纸本)0769512720

The article addresses the problem of model-based image segmentation by fitting deformable models to the image data. From uncertain a priori knowledge of the model parameters, an initial probability distribution of the model edge in the image is obtained. From the vicinity of the surmised edge, local statistics are learned for both sides of the edge. These local statistics provide locally adapted criteria to distinguish the two sides of the edge, even in the presence of spatially changing properties such as texture, shading, or color. Based on the local statistics, the model parameters are iteratively refined using a MAP estimation. Experiments with RGB images show that the method is capable of achieving high subpixel accuracy and robustness even in the presence of texture, shading, clutter, and partial occlusion.

关键词： image segmentation image edge detection Deformable models Statistical distributions Parameter estimation Three dimensional displays Integrated circuit modeling Charge coupled devices Curve fitting Statistics

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Comparing lanes in the pulsed-field gel electrophoresis (PFGE) images

Comparing lanes in the pulsed-field gel electrophoresis (PFG...

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Annual International conference of the ieee Engineering in Medicine and Biology society (EMBC)

作者： Wei-Zen Cheng Kue-Sai Yen Chih-Yang Lin Yu-Tai Ching Yun-Liang Yang Department of Computer and Information Science National Chiao Tung University Hsinchu Taiwan Department of Biological Science and Technology National Chiao Tung University Hsinchu Taiwan

Pulsed-field Gel Electrophoresis (PFGE) is an important tool in genomic analysis. The result of PFGE is Preprocessing.presented in an image. Each image contains several lanes. And each lane consists of bands. Two lanes are identified relative positions of bands are the same. We present a method that uses computer to extract the lanes and compare the lanes in the electrophoresis images. The presented method consists of two major steps. The first step is image processing.and lane extraction. The second step is to convert a lane into chain code representation. The lane comparison is carried out through calculating the longest common subsequence between lanes. We define the distance between lanes in term of the LCS and the lengths of two lanes. Two lanes have smaller distance tend to have similar pattern. This method eliminates those very different patterns to help biologists reduce the lanes that need to be compared.

关键词： Electrokinetics Histograms image analysis Biology computing Biological information theory Genomics Bioinformatics image processing image converters DNA

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