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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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Model-based curve evolution technique for image segmentation

Model-based curve evolution technique for image segmentation

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conference on computer Vision and pattern recognition (CVPR)

作者： A. Tsai A. Yezzi W. Wells C. Tempany D. Tucker A. Fan W.E. Grimson A. Willsky Department of EECS Massachusetts Institute of Technology Cambridge MA USA Georgia Institute of Technology School of EECS University of Central Florida Atlanta GA USA Aritificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA USA Harvard Medical School Brigham and Women''s Hospital Boston MA USA

ISBN: (纸本)0769512720

We propose a model-based curve evolution technique for segmentation of images containing known object types. In particular, motivated by the work of Leventon et al. (2000), we derive a parametric model for an implicit representation of the segmenting curve by applying principal component analysis to a collection of signed distance representations of the training data, The parameters of this representation are then calculated to minimize an objective function for segmentation. We found the resulting algorithm to be computationally efficient, able to handle multidimensional data, robust to noise and initial contour placements, while at the same time, avoiding the need for point correspondences during the training phase of the algorithm. We demonstrate this technique by applying it to two medical applications.

关键词： image segmentation Shape Noise robustness Principal component analysis Artificial intelligence Laboratories Hospitals Biomedical imaging Training data Multidimensional systems

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Necessary conditions to attain performance bounds on structure and motion estimates of rigid objects

Necessary conditions to attain performance bounds on structu...

引用

conference on computer Vision and pattern recognition (CVPR)

作者： M. Betke E. Naftali N.C. Makris Image and Video Computing Group Computer Science Department Boston University USA Department of Ocean Engineering Massachusetts Institute of Technology Acoustics Group

ISBN: (纸本)0769512720

Analytic conditions that are necessary for the maximum likelihood estimate to become asymptotically unbiased and attain minimum variance are derived for estimation problems in computer vision. In particular, problems of estimating the parameters that describe the 3D structure of rigid objects or their motion are investigated. It is common practice to compute Cramer-Rao lower bounds (CRLB) to approximate the mean-square error in parameter estimation problems, but the CRLB is not guaranteed to be a tight bound and typically underestimates the true mean-square error. The necessary conditions for the Cramer-Rao lower bound to be a good approximation of the mean-squareerror are derived. The tightness of the bound depends on the noise level, the number of pixels on the surface of the object, and the texture of the surface. We examine our analytical results experimentally using polyhedral objects that consist of planar surface patches with various textures that move in 3D space. We provide necessary conditions for the CRLB to be attained that depend on the size, texture, and noise level of the surface patch.

关键词： Motion estimation Surface texture Sea surface Maximum likelihood estimation computer vision Analysis of variance Parameter estimation Noise level Motion analysis image analysis

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Dynamic shadow elimination for multi-projector displays

Dynamic shadow elimination for multi-projector displays

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conference on computer Vision and pattern recognition (CVPR)

作者： R. Sukthankar Tat-Jen Cham G. Sukthankar The Robotis Institute Carnegie Mellon University Pittsburgh PA USA One Cambridge Center Compaq Research (CRL) Cambridge MA USA

ISBN: (纸本)0769512720

A major problem with interactive displays based on front-projection is that users cast undesirable shadows on the display surface. This situation is only partially addressed by mounting a single projector at an extreme angle and pre-warping the projected image to undo keystoning distortions. This paper demonstrates that shadows can be muted by redundantly illuminating the display surface using multiple projectors, all mounted at different locations. However, this technique alone does not eliminate shadows: multiple projectors create multiple dark regions on the surface (penumbral occlusions). We solve the problem by using cameras to automatically identify occlusions as they occur and dynamically adjust each projector's output so that additional light is projected onto each partially-occluded patch. The system is self-calibrating: relevant homographies relating projectors, cameras and the display surface are recovered by observing the distortions induced in projected calibration patterns. The resulting redundantly-projected display retains the high image quality of a single-projector system while dynamically correcting for all penumbral occlusions. Our initial two-projector implementation operates at 3 Hz.

关键词： Displays Cameras Lighting Robots image quality Real time systems Virtual environment Casting Layout Testing

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Combining two-view constraints for motion estimation

Combining two-view constraints for motion estimation

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conference on computer Vision and pattern recognition (CVPR)

作者： V.M. Govindu India

ISBN: (纸本)0769512720

In this paper we describe two methods for estimating the motion parameters of an image sequence. For a sequence of N images, the global motion can be described by N-1 independent motion models. On the other hand, in a sequence there exist as many as /sub 2///sup N(N-1)/ pairwise relative motion constraints that can be solve for efficiently. In this paper we show how to linearly solve for consistent global motion models using this highly redundant set of constraints. In the first case, our method involves estimating all available pairwise relative motions and linearly fining a global motion model to these estimates. In the second instance, we exploit the fact that algebraic (i.e. epipolar) constraints between various image pairs are all related to each other by the global motion model. This results in an estimation method that directly computes the motion of the sequence by using all possible algebraic constraints. Unlike using reprojection error, our optimisation method does not solve for the structure of points resulting in a reduction of the dimensionality of the search space. Our algorithms are used for both 3D camera motion estimation and camera calibration. We provide real examples of both applications.

关键词： Motion estimation Optimization methods Cameras Equations Venus image sequences Redundancy Parameter estimation Statistical analysis Minimization methods

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Nine points of light: acquiring subspaces for face recognition under variable lighting

Nine points of light: acquiring subspaces for face recogniti...

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conference on computer Vision and pattern recognition (CVPR)

作者： Kuang-Chih Lee Jeffrey Ho D. Kriegman Beckman Institute and Computer Science Department University of Illinois Urbana-Champaign Urbana IL USA

ISBN: (纸本)0769512720

Previous work has demonstrated that the image variations of many objects (human faces in particular) under variable lighting can be effectively modeled by low dimensional linear spaces. Basis images spanning this space are usually obtained in one of two ways: A large number of images of the object under different conditions is acquired, and principal component analysis (PCA) is used to estimate a subspace. Alternatively, a 3D model (perhaps reconstructed from images) is used to render virtual images under either point sources from which a subspace is derived using PCA or more recently under diffuse synthetic lighting based on spherical harmonics. In this paper we show that there exists a configuration of nine point light source directions such that by taking nine images of each individual under these single sources, the resulting subspace is effective at recognition under a wide range of lighting conditions. Since the subspace is generated directly from real images, potentially complex intermediate steps such as PCA and 3D reconstruction can be completely avoided; nor is it necessary to acquire large numbers of training images or physically construct complex diffuse (harmonic) light fields. We provide both theoretical and empirical results to explain why these linear spaces should be good for recognition.

关键词： Face recognition Humans Principal component analysis Lighting Jacobian matrices Optical reflection Kernel Frequency computer science Ear

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Classification of endoscopic images based on texture and neural network

Classification of endoscopic images based on texture and neu...

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

作者： P. Wang S.M. Krishnan C. Kugean M.P. Tjoa Biomedical Engineering Research Center Nanyang Technological University Singapore

computerized processing.of medical images can ease the search of the representative features in the images. The endoscopic images possess rich information expressed by texture. Regions affected by diseases, such as ulcer or coli, may have different texture features. The texture model implemented in this study is Local Binary pattern (LBP) and a log-likelihood-ratio, called the G-statistic, is used to evaluate the similarity of regions based on LBP. The neural network is used in the classification. SOM and BP are applied and compared. The texture model and classification algorithm are implemented and tested with clinically obtained colonoscopic data. For a large number of colonoscopic images, proper classification results corresponding with unique medical features can be acquired, which suggests that the unsupervised endoscopic image classification is applicable.

关键词： Neural networks Artificial neural networks Histograms Biomedical imaging Medical diagnostic imaging Biomedical engineering Biomedical computing computer networks Diseases Classification algorithms

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Model-based 3D tracking of an articulated hand

Model-based 3D tracking of an articulated hand

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conference on computer Vision and pattern recognition (CVPR)

作者： B. Stenger P.R.S. Mendonca R. Cipolla Department of Engineering University of Cambridge Cambridge UK

ISBN: (纸本)0769512720

This paper presents a practical technique for model-based 3D hand tracking. An anatomically accurate hand model is built from truncated quadrics. This allows for the generation of 2D profiles of the model using elegant tools from projective geometry, and for an efficient method to handle self-occlusion. The pose of the hand model is estimated with an Unscented Kalman filter (UKF), which minimizes the geometric error between the profiles and edges extracted from the images. The use of the UKF permits higher frame rates than more sophisticated estimation methods such as particle filtering, whilst providing higher accuracy than the extended Kalman filter The system is easily scalable from single to multiple views, and from rigid to articulated models. First experiments on real data using one and two cameras demonstrate the quality of the proposed method for tracking a 7 DOF hand model.

关键词： Solid modeling Geometry Deformable models Cameras Biological system modeling image edge detection Flowcharts Humans Partitioning algorithms Monte Carlo methods

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Relief mosaics by joint view triangulation

Relief mosaics by joint view triangulation

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conference on computer Vision and pattern recognition (CVPR)

作者： M. Lhuillier L. Quan H. Shum H.T. Tsui CNRS INRIA Montbonnot Saint Martin France Department of Computer Science Hong Kong University of Science and Technology Hong Kong China Microsoft Research China Beijing China Department of Electronic Engineering Chinese University of Hong Kong Hong Kong China

ISBN: (纸本)0769512720

Relief mosaics are collections of registered images that extend traditional mosaics by supporting motion parallax. A simple parallax interpolation algorithm based on computed correspondence information allows high quality blur-free and ghost-free mosaics to be created using images from moving hand-held cameras that would not be suitable for traditional mosaicing. The renderer can also display local parallax changes, giving a local but visually convincing illusion of depth. Moreover, relief mosaics can be used for approximate plenoptic modeling from hand-held cameras at lower spatial sampling rates than existing light-field methods. We present a fully automatic correspondence based construction system for relief mosaics, and show how they can be used in applications.

关键词： Cameras Interpolation Rendering (computer graphics) Layout image sampling computer science Displays Calibration Costs Video sequences

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A simple stereo algorithm to recover precise object boundaries and smooth surfaces

A simple stereo algorithm to recover precise object boundari...

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conference on computer Vision and pattern recognition (CVPR)

作者： M. Okutomi Y. Katayama S. Oka Graduate School of Information Science and Engineering Tokyo Institute of Technology Meguro Tokyo Japan Space Technology Research Center National Aerospace Laboratory Japan

ISBN: (纸本)0769512720

In area-based stereo matching, there is a problem called "boundary overreach", i.e. the recovered object boundary turns out to be wrongly located away from the real one. This is especially harmful to segmenting objects using depth information. A few approaches have been proposed to solve this problem. However, these techniques tend to degrade on smooth surfaces. That is, there seems to be a trade-off problem between recovering precise object edges and obtaining smooth surfaces. In this paper, we propose a new simple method to solve this problem. Using multiple stereo pairs and multiple windowing, our method detects the region where the boundary overreach is likely to occur (let us call it "BO region") and adopts appropriate methods for the BO and non-BO regions. Although the proposed method is quite simple, the experimental results have shown that it is very effective at recovering both sharp object edges at their correct locations and smooth object surfaces.

关键词： Cameras Calibration Information science Degradation image edge detection Stereo vision pattern matching Space technology Laboratories Pixel

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A vision system for fast 3D model reconstruction

A vision system for fast 3D model reconstruction

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conference on computer Vision and pattern recognition (CVPR)

作者： Huei-Yung Lin M. Subbarao Department of Electrical and Computer Engineering State University of New York Stony Brook Stony Brook NY USA

ISBN: (纸本)0769512720

A desktop vision system is presented for complete 3D model acquisition. It is fast, low-cost, and accurate. Partial 3D shapes and texture information are acquired from multiple viewing directions using rotational stereo and shape from focus (SFF). The resulting range images are registered to a common coordinate system and a surface representation is created for each range image. The resulting surfaces are integrated using a new algorithm named Region-of-Construction. Unlike previous approaches, the Region-of-Construction algorithm directly exploits the structure of the raw range images. The algorithm determines regions in range images corresponding to non-redundant surfaces which can be stitched along the boundaries to construct the complete 3D surface model. The algorithm is computationally efficient and less sensitive to registration error. It also has the ability to construct complete 3D models of complex objects with holes. A photo realistic 3D model is obtained by mapping texture information onto the complete surface model representing 3D shape. Experimental results for several real objects are presented.

关键词： Machine vision Focusing Shape image reconstruction Data acquisition Cameras Surface reconstruction Surface texture Solid modeling Photometry

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