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检索条件"机构=Image Processing and Computer Vision Laboratory"

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Multiple objects segmentation based on maximum-likelihood estimation and optimum entropy-distribution (MLE-OED)

Multiple objects segmentation based on maximum-likelihood es...

引用

International Conference on Pattern Recognition

作者： Xie Jun H.T. Tsui Xia Deshen Image Processing and Computer Vision Laboratory Department of Electronic Engineering Chinese University of Hong Kong Hong Kong China Pattern Recognition Laboratory Department of Computer Science Nanjing University of Science and Technology China

ISBN: (纸本)076951695X

A new method based on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss function proposed to implement image segmentation based on the image's local spatial information and global intensity distribution properties. The loss function consists of two terms: a local content fitting term, which optimizes the entropy distribution, and a global statistical fitting term, which maximizes the likelihood of the parameters for the given data. The proposed segmentation method was validated by simulated and real examples. The performance in the experiments is better than those of two popular methods.

关键词： Object segmentation Maximum likelihood estimation image segmentation Layout Uncertainty image edge detection Shape measurement image processing Pattern recognition Gaussian distribution

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The cardeye: A trinocular active vision system 2

引用

2nd International Workshop on computer vision Systems, ICVS 2001

作者： Hemayed, Elsayed E. Ahmed, Moumen T. Farag, Aly A. Computer Vision and Image Processing Laboratory University of Louisville KY40292 United States

ISBN: (纸本)3540422854

The CardEye is an experimental, trinocular, 3D active vision system. Our goal is to create a flexible, precise tool for active vision research. The system uses an agile trinocular vision head that will be mounted on a robotic arm. The system has several degrees of freedom: pan, tilt, roll, vergence and variable baseline in addition to the automated zoom and focus of the cameras lenses. It utilizes an active lighting device to assist in the surface reconstruction process. After solving for the best system variables to image a surface, a novel multi-stage reconstruction algorithm is used to build a rich, complete 3D model of the surface. In this paper we describe the novel architecture of the system and its successful application to reconstruction of objects of varying surface characteristics. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Degrees of freedom (mechanics)

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3D reconstruction of the human jaw: A new approach and improvements 4th

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4th International Conference on Medical image Computing and computer-Assisted Intervention, MICCAI 2001

作者： Ahmed, Moumen T. Eid, Ahmed H. Farag, Aly A. Computer Vision and Image Processing Laboratory University of Louisville KY40292 United States

ISBN: (纸本)3540426973

This paper presents a new, practical approach for 3D reconstruction of the human jaw from a sequence of intra-oral images. This research has an immense value in various dental practices including implants, tooth alignment, and craniofacial surgery. Our approach is based on the recently-proposed space carving algorithm for shape recovery. This algorithm provides more flexibility to the reconstruction process and eliminates several constrains imposed by other traditional approaches such as stereo and shape from shading. Our experimental results have shown that the approach is able to reconstruct 3D models of the human jaw with sub-millimeter accuracy. © Springer-Verlag Berlin Heidelberg 2001.

关键词： image reconstruction

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Locked, unlocked and semi-locked network weights for four different camera calibration problems

Locked, unlocked and semi-locked network weights for four di...

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International Joint Conference on Neural Networks (IJCNN)

作者： M. Ahmed A. Farag Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA

ISBN: (纸本)0780370449

Backpropagation training algorithms typically view network weights as a single vector of isotropic parameters to be minimized. In contrast, we present a neural network in which each network weight has its own physical meaning and its different role during network training. The network is used to solve four different types of calibration problems found in computer vision applications. A network weight may be unlocked, locked or semi-locked during training according to the available information about the problem. Experiments show the network trained with the available backpropagation-based algorithms can provide superior results to some other widely-used calibration techniques.

关键词： Cameras Calibration Neural networks computer vision Backpropagation algorithms Application software Multi-layer neural network Feedforward neural networks Optical computing image processing

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Differential methods for nonmetric calibration of camera lens distortion

Differential methods for nonmetric calibration of camera len...

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Conference on computer vision and Pattern Recognition (CVPR)

作者： M.T. Ahmed A.A. Farag Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA

ISBN: (纸本)0769512720

This paper addresses the problem of calibrating camera lens distortion, which can be significant in medium to wide angle lenses. Our approach is based on the analysis of distorted images of straight lines. We derive new distortion measures that can be optimized using non-linear search techniques to find the best distortion parameters that straighten these lines. Unlike other approaches, we also provide fast, closed-form solutions to the distortion coefficients. Experiments to evaluate the performance of this approach on synthetic and real data are reported.

关键词： Calibration Cameras Lenses Nonlinear distortion Distortion measurement Layout Parameter estimation computer vision image processing Laboratories

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Non-metric calibration of camera lens distortion

Non-metric calibration of camera lens distortion

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IEEE International Conference on image processing

作者： M. Ahmed A. Farag Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA

This paper addresses the problem of calibrating camera lens distortion, which can be significant in medium to wide angle lenses. Our approach is based on the analysis of distorted images of straight lines. We derive a new distortion measure that can be optimized using nonlinear search techniques to find the best distortion parameters that straighten these lines. Unlike the other existing approaches, we also show how to use this measure to find fast, closed-form solutions to the distortion coefficients. Some experiments to evaluate the performance of this approach on synthetic and real data are reported.

关键词： Calibration Cameras Lenses Nonlinear distortion Layout Distortion measurement Closed-form solution Geometry computer vision image processing

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3-D reconstruction of the human jaw using space carving

3-D reconstruction of the human jaw using space carving

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IEEE International Conference on image processing

作者： M.T. Ahmed A.H. Eid A.A. Farag Computer Vision and Image Processing (CVIP) Laboratory University of Louisville Louisville KY USA

This paper presents a model-based vision system for dentistry that will assist in diagnosis, treatment planning and surgical simulation. Dentistry requires an accurate 3D representation of the teeth and jaws for diagnostic and treatment purposes. The proposed integrated computer vision system constructs a 3D model of the patient's dental occlusion using an intra-oral video camera. The space carving algorithm is used to reconstruct the shape of the human jaw. This algorithm provides more flexibility and eliminates several constraints imposed by other approaches like stereo. The system performance is investigated, and the results show acceptable reconstruction accuracy.

关键词： Three dimensional displays Humans Dentistry Machine vision Surgery Computational modeling Teeth computer vision Cameras Shape

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image approximation and smoothing by support vector regression

Image approximation and smoothing by support vector regressi...

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International Joint Conference on Neural Networks (IJCNN)

作者： D. Kai Tik Chow Tong Lee Computer Vision and Image Processing Laboratory Department of Electronic Engineering Chinese University of Hong Kong Hong Kong China

ISBN: (纸本)0780370449

A new image representation by support vector regression (SVR) is introduced. After a grey level image is approximated as a continuous function using SVR, which maps a 2D pixel coordinate input into a 1D pixel grey level output, the image can then be expressed in terms of the extracted support vectors and their corresponding Lagrange multipliers. The image is reconstructed by a linear combination of kernels with weights equal to the values of Lagrange multipliers. With support vector representation, we can observed that: 1) it is able to remove noise from image, the denoising effect of SVR representation is implicit during image encoding, and it can be controlled by the SVR training parameters; 2) if a Gaussian RBF kernel is used in SVR representation, Gaussian smoothing can be easily implemented by increasing the variance of kernel during image reconstruction and sharpening can be done by reducing the variance.

关键词： Smoothing methods Kernel Pixel Vectors Lagrangian functions image reconstruction Noise reduction image representation Gaussian noise image coding

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Optimization on unbounded solution space using dynamic genetic algorithms

Optimization on unbounded solution space using dynamic genet...

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International Joint Conference on Neural Networks (IJCNN)

作者： Chi Kin Chow Hung Tat Tsui Tong Lee Computer Vision and Image Processing Laboratory Department of Electronic Engineering Chinese University of Hong Kong Sha Tin Hong Kong China

ISBN: (纸本)0780370449

The problem of applying genetic algorithm (GA) to solve an optimization problem over an unbounded solution space is addressed. We propose to first transform the possible range of each parameter in the chromosome to a finite range with a nonlinear mapping such that the search on unbounded solution space becomes a search for high precision solution in a finite range. Modifications on the GA have been found necessary after such nonlinear mapping. As a result, a new GA with dynamic mutation range that facilitates coarse-refine search has been developed.

关键词： Genetic algorithms Biological cells Optimization methods Genetic mutations computer vision image processing Laboratories Genetic engineering Chromosome mapping Dynamic range

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Medical image registration and model construction using genetic algorithms

Medical image registration and model construction using gene...

引用

International Workshop on Medical Imaging and Augmented Reality, MIAR 2001

作者： Chow, Chi Kin Tsui, Hung Tat Lee, Tong Lau, Tze Kin Computer Vision and Image Processing Laboratory Chinese University of Hong Kong Shatin Hong Kong Dept. of Electron. Eng. Chinese Univ. of Hong Kong Shatin Hong Kong Dept. of Obstetrics and Gynaecology Chinese University of Hong Kong Shatin Hong Kong

ISBN: (纸本)0769511139

The free-form surface registration problem is important in medical image processing and reconstruction. An accurate, robust and fast solution is, therefore, of great significance. Most existing approaches, like iterative closest point (ICP) or mutual information, can only work under many assumptions or limitations. In this paper we propose an new approach using an improved genetic algorithm for finding the transformation, a translation and a rotation, between two free-form surfaces, that are partially overlapped. Application of the algorithm to 3D object model construction using multiple image integration is investigated. The experimental results showed that the improved genetic algorithm for surface registration and model constriction is robust and is faster than all existing methods in the literatures. © 2001 IEEE.

关键词： Genetic algorithms

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