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CardEye: a 3D trinocular active vision system

CardEye: a 3D trinocular active vision system

引用

International Conference on Intelligent Transportation

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

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 mounted on a robotic arm. It has five degrees of freedom: pan, tilt, roll, vergence and variable baseline in addition to the automated zoom and focus of the lenses. It utilizes an active lighting device to assist in the surface reconstruction process. In this paper we describe the architecture of the system together with its functionality.

关键词： Machine vision computer vision Head Focusing Cameras Humans Laboratories Robot vision systems Lenses Surface reconstruction

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Computationally light forehead segmentation from thermal images

Computationally light forehead segmentation from thermal ima...

引用

IEEE International Conference on image processing

作者： Travis R. Gault Aly A. Farag Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA

Thermal images are often paired with visible spectrum images captured simultaneously-as surface features are easier to identify with proper illumination-to determine the thermal feature locations. Not all thermal images are necessarily recorded this way, yet determining salient feature regions is beneficial to other tasks. The forehead region is useful to the field of vital signs analysis and the goal of this work is automatically identifying the forehead region solely from thermal images. The anatomy of the forehead and its thermo-dynamic properties lend itself to minimizing the variance of a facial thermogram. Experiments conducted indoors on 32 subjects under normal, exercise and pain conditions. The proposed solution identifies the forehead region with 90-95% accuracy in 80ms or less, without initialization or training data, and can be easily implemented in parallel.

关键词： Forehead Skin Hair image segmentation Imaging Blood Heating

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Color segmentation using an Eigen color representation

Color segmentation using an Eigen color representation

引用

International Conference on Information Fusion

作者： A.E. Abdel-Hakim A.A. Farag Computer Vision and Image Processing Laboratory CVIP Laboratory University of Louisville Louisville KY USA

In real images, color segmentation is a challenging problem because of natural variations in light and shadows. Most existing color models have limitations in distinctive representation of colors in real scenes. Color segmentation approaches are highly dependent on the robustness of the used color model to these variations. In this paper, we present a novel color representation for color segmentation. The proposed model is a fusion of classical color representations. It is calculated using a closed form linear transformation from a high dimensional classical feature space to a lower dimensional new space. We prove the high performance of the proposed model in terms of robustness to natural variations and distinction between different colors, when compared with classical color models. Through color segmentation of real images, we provide a quantitative and qualitative comparison between the proposed model and classical models. The experimental results support the potential of the proposed model.

关键词： image segmentation Robustness computer vision image processing Layout Color Laboratories Application software computer graphics Digital images

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A new adaptive probabilistic model of blood vessels for segmenting MRA images

引用

9th International Conference on Medical image Computing and computer-Assisted Intervention, MICCAI 2006

作者： El-Baz, Ayman Farag, Aly A. Gimel'Farb, Georgy El-Ghar, Mohamed A. Eldiasty, Tarek Computer Vision and Image Processing Laboratory University of Louisville Louisville KY 40292 United States Department of Computer Science Tamaki Campus University of Auckland Auckland New Zealand Urology and Nephrology Department University of Mansoura Mansoura Egypt

ISBN: (纸本)354044727X

A new physically justified adaptive probabilistic model of blood vessels on magnetic resonance angiography (MRA) images is proposed. The model accounts for both laminar (for normal subjects) and turbulent blood flow (in abnormal cases like anemia or stenosis) and results in a fast algorithm for extracting a 3D cerebrovascular system from the MRA data. Experiments with synthetic and 50 real data sets confirm the high accuracy of the proposed approach. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Magnetic resonance imaging

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A generalization of morphological filters using multiple structuring elements

A generalization of morphological filters using multiple str...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： J. Song E.J. Delp Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

A new class of morphological filters is proposed for smoothing an image contaminated with noise. A multiple model that includes the combination of linear and nonlinear operations is used in the design of the new filter. The performance of the averaging version of this new filter is similar to that of the alpha-trimmed mean filter. The structure-preserving properties of this new filter depend on the values assigned to the coefficients in the filter. The idempotent property is obtained when a closing-min and opening-max version of the filter is used. The root structure of the output signal is also investigated.< >

关键词： Nonlinear filters Finite impulse response filter Filtering algorithms Gaussian noise Information filtering Information filters computer vision image processing Laboratories image edge detection

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A new symmetric shape from shading algorithm with an application to 3-D face reconstruction

A new symmetric shape from shading algorithm with an applica...

引用

IEEE International Conference on image processing

作者： Abdelrehim Ahmed Aly Farag Thomas Starr Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY USA

This paper presents a new symmetric shape from shading (SFS) algorithm where the self-ratio image irradiance equation proposed by Zhao and Chellappa is formulated as a partial differential equation (PDE) with a Dirichlet boundary condition. This PDE is solved using the Lax-Friedrichs sweeping method. The potential of the proposed symmetric SFS algorithm is demonstrated by several experiments on synthetic and real data. As an application, the proposed algorithm is used for 3-D face reconstruction.

关键词： Shape Partial differential equations Iterative algorithms Rough surfaces Surface roughness Face image reconstruction Differential equations Brightness Nonlinear equations

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Accurate Tracking of Monotonically Advancing Fronts

Accurate Tracking of Monotonically Advancing Fronts

引用

Conference on computer vision and Pattern Recognition (CVPR)

作者： M.S. Hassouna A.A. Farag Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY USA

A wide range of computer vision applications such as distance field computation, shape from shading, and shape representation require an accurate solution of a particular Hamilton-Jacobi (HJ) equation, known as the Eikonal equation. Although the fast marching method (FMM) is the most stable and consistent method among existing techniques for solving such equation, it suffers from large numerical error along diagonal directions as well as its computational complexity is not optimal. In this paper, we propose an improved version of the FMMthat is both highly accurate and computationally efficient for Cartesian domains. The new method is called the multi-stencils fast marching (MSFM), which computes the solution at each grid point by solving the Eikonal equation along several stencils and then picks the solution that satisfies the fast marching causality relationship. The stencils are centered at each grid point x and cover its entire nearest neighbors. In 2D space, 2 stencils cover the 8-neighbors of x, while in 3D space, 6 stencils cover its 26-neighbors. For those stencils that are not aligned with the natural coordinate system, the Eikonal equation is derived using directional derivatives and then solved using a higher order finite difference scheme.

关键词： computer vision Shape Finite difference methods Application software Computational complexity Nonlinear equations Partial differential equations image processing Laboratories Grid computing

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Shape from Shading Under Various Imaging Conditions

Shape from Shading Under Various Imaging Conditions

引用

Conference on computer vision and Pattern Recognition (CVPR)

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

Most of the shape from shading (SFS) algorithms have been developed under the simplifying assumptions of a Lambertian surface, an orthographic projection, and a distant light source. Due to the difficulty of the SFS problem, only a small number of algorithms have been proposed for surfaces with non-Lambertian reflectance, and among those, only very few algorithms are applicable for surfaces with specular and diffuse reflectance. In this paper we propose a unified framework that is capable of solving the SFS problem under various settings of imaging conditions i.e., Lambertian or non-Lambertian, orthographic or perspective projection, and distant or nearby light source. The proposed algorithm represents the image irradiance equation of each setting as an explicit Partial Differential Equation (PDF). In our implementation we use the Lax-Friedrichs sweeping method to solve this PDF. To demonstrate the efficiency of the proposed algorithm, several comparisons with the state of the art of the SFS literature are given.

关键词： Shape Reflectivity Light sources Partial differential equations Nonlinear equations Cameras Brightness computer vision Differential equations Strips

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FLY-IN VISUALIZATION FOR VIRTUAL COLONOSCOPY

FLY-IN VISUALIZATION FOR VIRTUAL COLONOSCOPY

引用

IEEE International Conference on image processing

作者： Mostafa Mohamad Amal Farag Asem M. Ali Salwa Elshazly Aly A. Farag Mohamad Ghanoum Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Kentucky Imaging Technologies

In this paper, a new visualization method for tubular inner surfaces is proposed, denoted by "Fly-In". The approach uses a virtual camera that moves along the inner surface's centerline, obtaining projections of the surrounding view, formed of small 3D topological rings, within the tube that is rendered as a 2D rectangular image. A new visualization loss measure is also presented, which utilizes the projection direction of the camera axis, the surface normal and the ratio of the camera focal length and the surface distance. A comparative study of Fly-in versus two state-of-the-art methods (Fly-Through and Fly-Over) is conducted on 3D reconstructed colons from CT Colonography (CTC) patient data. Quantitative results are computed using the new loss measure and visualized using color coding. Results show high performance for the proposed Fly-In approach with respect to the state-of-art.

关键词： Cameras Loss measurement Colon Three-dimensional displays Data visualization Visualization Face

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A Passive Stereo System for 3D Human Face Reconstruction and Recognition at a Distance

A Passive Stereo System for 3D Human Face Reconstruction and...

引用

IEEE computer Society Conference on computer vision and Pattern Recognition Workshops

作者： Mostafa Abdelrahman Asem Ali Shireen Elhabian Ham Rara Aly A. Farag Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY 40292

ISBN: (纸本)9781467316118

In this paper, we propose a front-end framework for 3D human face reconstruction and recognition at a distance. A stereo acquisition system is built and deployed to capture stereo pairs of subjects at different distances. Three main issues are addressed to achieve accurate face reconstruc- tion, which leads to good recognition;Different illumina- tion conditions between the stereo pair due to larger base- line and further distances, where a fast similarity measure based on normalized cross correlation is shown to tackle such problem. Due to the non-convexity nature of a human face, concave regions introduce occluded regions where cu- bic Splines are used to estimate the disparity. Disparity discontinuities are introduced due to the sparse nature of stereo reconstruction, where surface fitting is performed at prominent facial points. We present our database of 99 sub- jects at different ranges where reconstruction and recogni- tion results are presented.

关键词： Passive Stereo System 3D Human Reconstruction Stereo pairs Recognition (Psychology) Cross correlation Face Face Acoustic equipment Reconstructive Surgical Procedures surface fitting acquisition system similar measure Reconstructions DISTANCE

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