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检索条件"任意字段=2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005"

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Skin and bones: multi-layer, locally affine, optical flow and regularization with transparency

Skin and bones: multi-layer, locally affine, optical flow an...

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conference on computer vision and pattern recognition (cvpr)

作者： S. X. Ju M.J. Black A.D. Jepson Department of Computer Science University of Toronto Toronto ONT Canada Xerox Palo Alto Research Center Palo Alto CA USA Canadian Institute for Advanced Research Canada

This paper describes a new method for estimating optical flow that strikes a balance between the flexibility of local dense computations and the robustness and accuracy of global parameterized flow models. An affine model of image motion is used within local image patches while a spatial smoothness constraint on the affine flow parameters of neighboring patches enforces continuity of the motion. We refer to this as a "Skin and Bones" model in which the affine patches can be thought of as rigid "bones" connected by a flexible "skin". Since local image patches may contain multiple motions we use a layered representation for the affine bones. To regularize this layered motion representation we develop a new framework for regularization with transparency.

关键词： Skin Bones Image motion analysis Motion estimation Robustness computer science Optical computing Area measurement Fluid flow measurement Tiles

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Multidimensional indexing for recognizing visual shapes

Multidimensional indexing for recognizing visual shapes

引用

conference on computer vision and pattern recognition (cvpr)

作者： A. Califano R. Mohan Exploratory Computer Vision Group IBM Thomas J. Watson Research Center Yorktown Heights NY USA

A homogeneous approach for acquisition, storage, and recognition of nonparametric shapes from images, using a novel shape representation based on shape autocorrelation operators is presented. A theoretical and experimental analysis of the computational complexity, recognition performance with increasing database size, and fault tolerance of the approach is presented. The system has been tested extensively with more than 300 arbitrary shapes in the database. Using a set of complex shapes, the recognition behavior with respect to occlusion, geometric transformation, and cluttered environments is studied. Unsupervised shape and subpart acquisition is demonstrated.< >

关键词： Multidimensional systems Indexing Shape Image storage Image databases Spatial databases Image recognition Autocorrelation Performance analysis Computational complexity

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Recovery of 3-D objects with multiple curved surfaces from 2-D contours

Recovery of 3-D objects with multiple curved surfaces from 2...

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conference on computer vision and pattern recognition (cvpr)

作者： F. Ulupinar R. Nevatia Department of Computer Engineering Bilkent University Ankara Turkey Institute for Robotics and Intelligent Systems University of Southern California Los Angeles CA USA

The authors describe a technique for inference of 3-D shape from 2-D contours that utilizes not only the shapes of individual surfaces but also the interactions between them. The analysis applies to objects made of ze... 详细信息

关键词： Shape Image converters Intelligent robots Engine cylinders Intelligent systems Read only memory Monitoring Contracts US Government H infinity control

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A Rao-Blackwellized particle filter for EigenTracking

A Rao-Blackwellized particle filter for EigenTracking

引用

conference on computer vision and pattern recognition (cvpr)

作者： Zia Khan T. Balch F. Dellaert College of Computing Georgia Institute of Technology USA

Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black's influential paper on EigenTracking, they were successfully applied in tracking. For noisy targets, optimization-based algorithms (including EigenTracking) often fail catastrophically after losing track. Particle filters have recently emerged as a robust method for tracking in the presence of multi-modal distributions. To use subspace representations in a particle filter, the number of samples increases exponentially as the state vector includes the subspace coefficients. We introduce an efficient method for using subspace representations in a particle filter by applying Rao-Blackwellization to integrate out the subspace coefficients in the state vector. Fewer samples are needed since part of the posterior over the state vector is analytically calculated. We use probabilistic principal component analysis to obtain analytically tractable integrals. We show experimental results in a scenario in which we track a target in clutter.

关键词： Particle filters Target tracking computer vision Principal component analysis Shape Vectors Particle measurements Robustness Particle tracking State estimation

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Novel view synthesis in tensor space

Novel view synthesis in tensor space

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conference on computer vision and pattern recognition (cvpr)

作者： S. Avidan A. Shashua Institute of Computer Science Hebrew University of Jerusalem Jerusalem Israel

We present a new method for synthesizing novel views of a 3D scene from few model images in full correspondence. The core of this work is the derivation of a tensorial operator that describes the transformation from a given tensor of three views to a novel tensor of a new configuration of three views. By repeated application of the operator on a seed tensor with a sequence of desired virtual camera positions we obtain a chain of warping functions (tensors) from the set of model images to create the desired virtual views.

关键词： Tensile stress Cameras Interpolation Layout Rendering (computer graphics) computer science Image motion analysis Engines Image generation Extrapolation

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Novel active-vision-based visual-threat-cue for autonomous navigation tasks

Novel active-vision-based visual-threat-cue for autonomous n...

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conference on computer vision and pattern recognition (cvpr)

作者： S.R. Kundur D. Raviv Robotics Center and Department of Electrical Engineering Florida Atlantic University Boca Raton FL USA Intelligent Systems Division National Institute for Standards and Technology Gaithersburg MD USA

This paper presents a new visual motion cue, we call the Visual Threat Cue (VTC) that provides some measure for a relative change in range as well as clearance between a 3D surface and a fixing observer in motion. The VTC corresponds to visual fields surrounding a moving observer. The fields are time-based imaginary 3-D surfaces that move with the observer. They are analogous to equi-potential fields of an electric dipole. A practical method to extract the VTC is presented. The approach is independent of the 3D surface texture and needs no optical flow information, 3D reconstruction, segmentation, feature tracking or pre-processing. This algorithm to extract the VTC was applied to several indoor as well as outdoor real images of textures, where we observed a similar behavior for most of the textures employed.

关键词： Navigation Data mining Surface texture Cameras Surface reconstruction NIST Motion measurement Image reconstruction Image segmentation Electric variables measurement

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Adaptive smoothing: a general tool for early vision

Adaptive smoothing: a general tool for early vision

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conference on computer vision and pattern recognition (cvpr)

作者： P. Saint-Marc J.S. Chen G. Medioni Institute for Robotics and Intelligent Systems Departments of Electrical Engineering and Computer Science University of Southern California Los Angeles CA USA

The authors present a method to smooth a signal-whether it is an intensity image, a range image, or a contour-which preserves discontinuities and thus facilitates their detection. This is achieved by repeatedly convolving the signal with a very small averaging filter modulated by a measure of the signal discontinuity at each point. This process is related to the anisotropic diffusion reported by P. Perona and J. Malik (1987) but it has a much simpler formulation and is not subject to instability or divergence. Real examples show how this approach can be applied to the smoothing of various types of signals. The detected features do not move, and thus no tracking is needed. The last property makes it possible to derive a novel scale-space representation of a signal using a small number of scales. Finally, this process is easily implemented on parallel architectures: the running time on a 16 K connection machine is three orders of magnitude faster than on a serial machine.< >

关键词： Smoothing methods Filters Intelligent robots computer vision Intelligent systems Anisotropic magnetoresistance Image edge detection Signal processing Wave functions Laplace equations

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Calibration of a foveated wide-angle lens on an active vision head

Calibration of a foveated wide-angle lens on an active visio...

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conference on computer vision and pattern recognition (cvpr)

作者： L. Berthouze S. Rougeaux F. Chavand Y. Kuniyoshi Autonomous Systems Section Electro Technical Laboratory Tsukuba Ibaraki Japan Equipe Systemes Complexes Centre dE28099Etudes Mecaniques dIE28099le de France Evry France

Inspired by the properties of the human visual system, a new active vision system called ESCHeR (Etl Stereo Compact Head For Robot vision) has been recently implemented with foveated wide angle lenses. The lenses exhibit a wide field of view along with a space-varying resolution for facilitating both detection and close observation. However, to handle such optical properties and achieve basic eye movement functions, new calibration methods are needed. Therefore, two novel and online techniques are presented that in one case perform a global identification of the optical process through artificial neural techniques and in the other case compute the physical parameters by using environmental feature-tracking and controlled rotations of the cameras. Self-alignment of the cameras is also achieved using a similar technique.

关键词： Calibration Lenses Cameras Humans Visual system Machine vision Orbital robotics Robot vision systems Optical computing Physics computing

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Off-line handwritten word recognition (HWR) using a single contextual hidden Markov model

Off-line handwritten word recognition (HWR) using a single c...

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conference on computer vision and pattern recognition (cvpr)

作者： M.-Y. Chen A. Kundu J. Zhou Center of Excellence for Document Analysis and Recognition Suny at Buffalo Buffalo NY USA

A complete scheme for totally unconstrained handwritten word recognition based on a single contextual hidden Markov model (HMM) is proposed. The scheme includes a morphology- and heuristics-based segmentation algorithm and a modified Viterbi algorithm that searches the (l+1)st globally best path based on the previous l best paths. The results of detailed experiments for which the overall recognition rate is up to 89.4% are reported.< >

关键词： Handwriting recognition Hidden Markov models Image segmentation Speech recognition Speech processing Postal services Text analysis Image recognition

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Restoration of curved document images through 3D shape modeling

Restoration of curved document images through 3D shape model...

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conference on computer vision and pattern recognition (cvpr)

作者： Zheng Zhang Chew Lim Tan Liying Fan School of Computing National University of Singapore Singapore

In this paper, we address the problem of discovering the 3D shape of a book surface from the shading information in a scanned document image. This shape-from-shading problem is characterized in real world environments by a proximal and a moving light source, Lambertian reflection and a non-uniform albedo distribution. By considering all these factors, we first build the practical model (consists of geometric model and optical model) to reconstruct the 3D shape of book surface. We next restore the scanned image using this shape based on two models, namely de-shading and dewarping models. Finally, we compare the OCR results on the original and restored document image. The experiments show that the geometric and photometric distortions are mostly removed and the OCR results are improved markedly.

关键词： Image restoration Shape Solid modeling Optical character recognition software Books Optical distortion Light sources Optical reflection Geometrical optics Optical variables control

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