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检索条件"机构=Computer Vision Ond Image Processing Laboratory"
342 条 记 录,以下是191-200 订阅
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A Variational Approach for Shapes Registration Using Vector Maps
A Variational Approach for Shapes Registration Using Vector ...
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IEEE International Conference on image processing
作者: Hossam Abd El Munim Aly A. Farag Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY USA
The main focus of this paper is the shape representation and registration using vector level set functions. This powerful representation is more flexible than conventional signed distance level sets since it enables u... 详细信息
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Multiresolution approach for non-contact measurements of arterial pulse using thermal imaging
Multiresolution approach for non-contact measurements of art...
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2006 Conference on computer vision and Pattern Recognition Workshops
作者: Chekmenev, Sergey Y. Farag, Aly A. Essock, Edward A. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY 40292 United States Department of Psychological and Brain Sciences University of Louisville Louisville KY 40292 United States
This paper presents a novel, multiresolution (MR) approach for non-contact passive measurements of the arterial pulse along the arterial tree using thermal imaging of the most accessible regions of human face and neck... 详细信息
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New Deformable Registration Technique Using Scale Space and Curve Evolution Theory and A Finite Element Based Validation Framework
New Deformable Registration Technique Using Scale Space and ...
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
作者: Rachid Fahmi Alaa Aly Ayman Elbaz Aly A. Farag Computer Vision & Image Processing laboratory University Of Louisville Louisville KY USA
In this paper, we present a novel and accurate approach for nonrigid registration. New feature descriptors are built as voxel signatures using scale space theory. These descriptors are used to capture the global motio... 详细信息
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A new adaptive probabilistic model of blood vessels for segmenting MRA images
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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
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 (... 详细信息
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Accurate Tracking of Monotonically Advancing Fronts
Accurate Tracking of Monotonically Advancing Fronts
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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 Ei... 详细信息
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Level Set Segmentation Using Statistical Shape Priors
Level Set Segmentation Using Statistical Shape Priors
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IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)
作者: A.S. El-Baz A.A. Farag H.A. El Munim S.E. Yuksel Computer Vision & Image Processing Laboratory (CVIP) University of Louisville Louisville KY USA
A novel and robust 3-D segmentation approach is proposed using level sets based on shape constraints. The approach depends on both the gray level and shape information. A partial differential equation (PDE) is develop... 详细信息
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CSIFT: A SIFT Descriptor with Color Invariant Characteristics
CSIFT: A SIFT Descriptor with Color Invariant Characteristic...
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Conference on computer vision and Pattern Recognition (CVPR)
作者: A.E. Abdel-Hakim A.A. Farag Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY USA
SIFT has been proven to be the most robust local invariant feature descriptor. SIFT is designed mainly for gray images. However, color provides valuable information in object description and matching tasks. Many objec... 详细信息
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Line-Based Affine Invariant Object Location Using Transformation Space Decomposition
Line-Based Affine Invariant Object Location Using Transforma...
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International Conference on Pattern Recognition
作者: R. Yang Yongsheng Gao Computer Vision and Image Processing Laboratory School of Engineering Griffith University Brisbane Australia
This paper presents a novel line-based affine invariant object location methodology. Our algorithm employs a new line-based transformation space decomposition technique to exploit intrinsic structural information prov... 详细信息
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A New Formulation for Shape from Shading for Non-Lambertian Surfaces
A New Formulation for Shape from Shading for Non-Lambertian ...
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Conference on computer vision and Pattern Recognition (CVPR)
作者: A.H. Ahmed A.A. Farag Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY USA
Lambert’s model for diffuse reflection is a main assumption in most of shape from shading (SFS) literature. Even with this simplified model, the SFS is still a difficult problem. Nevertheless, Lambert’s model has be... 详细信息
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Super-resolution in the presence of space-variant blur
Super-resolution in the presence of space-variant blur
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International Conference on Pattern Recognition
作者: K.V. Suresh A.N. Rajagopalan Image Processing and Computer Vision Laboratory Department of Electrical Engineering IIT Madras Chennai India
An efficient algorithm using maximum a posteriori-Markov random field (MAP-MRF) based approach for recovering a high-resolution image from multiple sub-pixel shifted low-resolution images is proposed. The algorithm ca... 详细信息
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