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检索条件"机构=Computer Vision and Image Processing Laboratory University of Louisville"
324 条 记 录,以下是1-10 订阅
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Multimodality image registration and fusion using neural network
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Journal of Harbin Institute of Technology(New Series) 2003年 第3期10卷 235-240页
作者: Mostafa G Mostafa Aly A Farag Edward Essock Computer Vision and Image Processing Laboratory Dept. of Electrical and Computer Engineering University of Louisville Louisville KY 40292 USAComputer Vision and Image Processing Laboratory Dept. of Electrical and Computer Engineering University of Louisville Louisville KY 40292 USADept. of Psychology University of Louisville Louisville kY 40292 USA
Multimodality image registration and fusion are essential steps in building 3-D models from remotesensing data. We present in this paper a neural network technique for the registration and fusion of multimodali-ty rem... 详细信息
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Validating linear elastic and linear viscoelastic models of lamb liver tissue using cone-beam CT
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International Congress Series 2005年 1281卷 473-478页
作者: Shi, Hongjian Farag, Aly Computer Vision and Image Processing Laboratory University of Louisville Louisville KY United States
The purpose of this paper is to validate simple linear elastic model and linear viscoelastic models for lamb liver tissue deformation using high resolution cone-beam CT images. The resolution of the scanned images is ... 详细信息
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Feature extraction in image analysis
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IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE 1997年 第4期16卷 62-73页
作者: Umbaugh, SE Wei, YS Zuke, M Computer Vision and Image Processing Laboratory Southem Illinois University Edwardsville USA
images are important for many biomedical applications. Here, the authors focus on the feature-extraction part of the image analysis process. The following topics are dealt with: feature vectors and feature spaces; bin... 详细信息
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Non-rigid registration techniques for automatic follow-up of lung nodules
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International Congress Series 2005年 1281卷 1115-1120页
作者: El-Baz, Ayman Yuksel, Seniha E. Elshazly, Salwa Farag, Aly A. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY 40292 United States
Our long-term research goal is to develop an automatic approach for early detection of lung nodules that may lead to lung cancer. This paper focuses on the monitoring of the progress (growth or shrinking) of lung nodu... 详细信息
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image content-based active sensor planning for a mobile trinocular active vision system
Image content-based active sensor planning for a mobile trin...
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2004 International Conference on image processing, ICIP 2004
作者: Farag, Aly A. Abdel-Hakim, Alaa E. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY 40292
In this paper, we present a sensor planning approach for a mobile trinocular active vision system. At the stationary state (i.e., no motion) the sensor planning system calculates the generalized cameras' parameter... 详细信息
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Probability density estimation by linear combinations of Gaussian kernels-generalizations and algorithmic evaluation
Probability density estimation by linear combinations of Gau...
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International Conference on Multimedia Technology
作者: Farag, Amal A. Ali, Asem M. Elhabian, Shireen Farag, Aly A. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY United States
This paper examines parametric density estimation using a variable weighted sum of Gaussian kernels, where the weights may take positive and negative values. Various statistical properties of the estimator are studied... 详细信息
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Dynamic weighting of facial features for automatic pose-invariant face recognition
Dynamic weighting of facial features for automatic pose-inva...
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2012 9th Conference on computer and Robot vision, CRV 2012
作者: Mostafa, Eslam A. Farag, Aly A. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY United States
This paper proposes an automatic pose-invariant face recognition system. In our approach, we consider the texture information around the facial features to compute the similarity measure between the probe and gallery ... 详细信息
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Less is more: Cropping to improve facial recognition with thermal images
Less is more: Cropping to improve facial recognition with th...
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2nd International Conference on Multimedia Technology, ICMT 2011
作者: Gault, Travis R. Mostafa, Eslam Farag, Ahmed A. Farag, Aly A. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY United States
Numerous studies have investigated the functionality of the human facial recognition mechanisms with aims to improve computer vision methodologies. Understanding these mechanisms is important for applications in compu... 详细信息
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Cerebrovascular segmentation for MRA data using level sets
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International Congress Series 2003年 第C期1256卷 246-252页
作者: Hassan, Hossam Farag, Aly A Computer Vision Image Processing Laboratory University of Louisville Lutz Hall Louisville KY 40292 United States
In this paper, we use a level set based segmentation algorithm to extract the vascular tree from Phase Contrast Magnetic Resonance Angiography, “PCMRA”. Classification model finds an optimal partition of homogeneous... 详细信息
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Statistical morphable model for human teeth restoration
Statistical morphable model for human teeth restoration
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作者: Mostafa, Eslam Elhabian, Shireen Abdelrahim, Aly Elshazly, Salwa Farag, Aly Computer Vision and Image Processing Laboratory University of Louisville KY United States
While traditional dental fillings are molded during a dental visit, dental restoration (e.g. inlays and onlays) are fabricated in a dental lab to offer a long lasting reparative solution to tooth decay or similar stru... 详细信息
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