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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...

引用

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

引用

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

引用

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...

引用

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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Memory efficient fingerprint verification

Memory efficient fingerprint verification

引用

IEEE International Conference on image processing

作者： C. Beleznai H. Ramoser B. Wachmann J. Birchbauer H. Bischof W. Kropatsch Advanced Computer Vision Austrian Research Centre Seibersdorf Vienna Austria Programm-und Systementwicklung Siemens AG Österreich Graz Austria Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

Fingerprint recognition and verification are often based on local fingerprint features, usually ridge endings or terminations, also called minutiae. By exploiting the structural uniqueness of the image region around a minutia, the fingerprint recognition performance can be significantly enhanced. However, for most fingerprint images the number of minutia image regions (MIRs) becomes dramatically large, which imposes - especially for embedded systems - an enormous memory requirement. Therefore, we are investigating different algorithms for compression of minutia regions. The requirement for these algorithms is to achieve a high compression rate (about 20) with minimum loss in the matching performance of minutia image region matching. We investigate the matching performance for compression algorithms based on the principal component and the wavelet transformation. The matching results are presented in form of normalized ROC curves and interpreted in terms of compression rates and the MIR dimension.

关键词： Fingerprint recognition image coding computer vision image recognition image processing image matching Embedded system Performance loss Biometrics Character recognition

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A two-step fuzzy-Bayesian classification for high dimensional data

A two-step fuzzy-Bayesian classification for high dimensiona...

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15th International Conference on Pattern Recognition, ICPR 2000

作者： Mostafa, Mostafa G.-H. Perkins, Timothy C. Farag, Aly A. Computer Vision and Image Processing Laboratory University of Louisville KY40292 United States

ISBN: (纸本)0769507506

The goal of this paper is twofold. First, we present a supervised fuzzy c-mean (SFCM) classifier for the classification of high dimensional data. Comparisons with conventional FCM clustering technique and Bayesian classification technique are also presented. Second, we present a two-step classifier in which the proposed SFCM and Bayesian algorithms ore used in a cooperative way such that classification results of the SFCM algorithm are used to compute the prior probabilities required for the Bayesian classifier. Classification results of the three algorithms are presented on simulated and real remote sensing multispectral data. The results show improvement in the classification accuracy and reliability using the two-step algorithm. © 2000 IEEE.

关键词： Clustering algorithms

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Multimodality image registration and fusion using neural network

Multimodality image registration and fusion using neural net...

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3rd International Conference on Information Fusion, FUSION 2000

作者： Mostafa, Mostafa G. Farag, Aly A. Essock, Edward Computer Vision and Image Processing Laboratory Department of Electrical and Computer Engineering University of Louisville Louisville KY 40292 United States Department of Psychology University of Louisville Louisville KY 40292 United States

ISBN: (纸本)2725700000

Multi-modality image registration and fusion are essential steps in building 3D models from remote sensing data. In this paper, we present a neural network technique for the registration and fusion of multi-modality remote sensing data for the reconstruction of 3D models of terrain regions. A feedforward neural network is used to fuse the intensity data sets with the spatial data set after learning its geometry. Results on real data are presented. Human performance evaluation is assessed on several perceptual tests in order to evaluate the fusion results. © 2000 Int. Soc. Inf. Fusion.

关键词： image fusion

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