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检索条件"机构=Computer Vision Ond Image Processing Laboratory"
342 条 记 录,以下是81-90 订阅
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STATISTICAL MORPHABLE MODEL FOR HUMAN TEETH RESTORATION
STATISTICAL MORPHABLE MODEL FOR HUMAN TEETH RESTORATION
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IEEE International Conference on image processing
作者: Eslam Mostafa Shireen Elhabian Aly Abdelrahim Salwa Elshazly Aly Farag Computer Vision and Image Processing Laboratory University of Louisville KY USA Kentucky Imaging Technologies Louisville KY USA
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
来源: 评论
Maximum likelihood thresholding algorithm based on four-parameter gamma distributions
Maximum likelihood thresholding algorithm based on four-para...
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International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
作者: Peter De-Ford Geovanni Martinez Image Processing and Computer Vision Research Laboratory (IPCV-LAB) Universidad de Costa Rica San José Costa Rica
In this contribution, we present a segmentation algorithm based on thresholding to subdivide an intensity image in the regions of object and background. The optimal threshold is found by maximizing a likelihood functi... 详细信息
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A Novel Level Set Method for Segmentation of Left and Right Ventricles from Cardiac MR images
A Novel Level Set Method for Segmentation of Left and Right ...
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society
作者: Yu Liu Chunming Li Shuxu Guo Yihua Song Yue Zhao Center for Image Processing and Computer Vision Jilin University Center for Biomedical Image Computing and Analytics University of Pennsylvania Center for Key Laboratory of Medical Image Computing Ministry of Education Northeastern University
In this paper, we propose a novel level set method for segmentation of cardiac left and right ventricles based on the distance regularized level set evolution (DRLSE) framework [7] and the distance regularized two-lay... 详细信息
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Frameworks for multimodal biometric using sparse coding
Frameworks for multimodal biometric using sparse coding
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3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012
作者: Huang, Zengxi Liu, Yiguang Huang, Ronggang Yang, Menglong Vision and Image Processing Laboratory College of Computer Science Sichuan University Chengdu China
In this paper, we will introduce three frameworks for multimodal biometric using sparse representation based classification (SRC), which has been successfully used in many classification tasks recently. The first fram... 详细信息
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Model-based human teeth shape recovery from a single optical image with unknown illumination
Model-based human teeth shape recovery from a single optical...
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15th International Conference on Medical image Computing and computer-Assisted Intervention, MICCAI 2012
作者: Farag, Aly Elhabian, Shireen Abdelrehim, Aly Aboelmaaty, Wael Farman, Allan Tasman, David Computer Vision and Image Processing Laboratory University of Louisville Louisville KY 40292 United States School of Dentistry University of Louisville Louisville KY 40202 United States
Several existing 3D systems for dental applications rely on obtaining an intermediate solid model of the jaw (cast or teeth imprints) from which the 3D information can be captured. In this paper, we propose a model-ba... 详细信息
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Analytic Bilinear Appearance Subspace Construction for Modeling image Irradiance Under Natural Illumination and Non-Lambertian Reflectance
Analytic Bilinear Appearance Subspace Construction for Model...
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IEEE Conference on computer vision and Pattern Recognition
作者: Shireen Y. Elhabian Aly A. Farag Computer Vision and Image Processing Laboratory ECE Dept. University of Louisville
Conventional subspace construction approaches suffer from the need of "large-enough" image ensemble rendering numerical methods intractable. In this paper, we propose an analytic formulation for low-dimensio... 详细信息
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Clinically desired segmentation method for vertebral bodies
Clinically desired segmentation method for vertebral bodies
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IEEE International Symposium on Biomedical Imaging
作者: Melih S. Aslan Ahmed Shalaby Aly A. Farag Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA
In this paper, we propose a clinically desired segmentation method for vertebral bodies (VBs) in computed tomography (CT) images. Three pieces of information (intensity, spatial interaction, and shape) are modeled to ... 详细信息
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Heat front propagation contours for 3D face recognition
Heat front propagation contours for 3D face recognition
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IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS)
作者: Mostafa Abdelrahman Aly A. Farag Moumen El-Melegy Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA University of Louisville Louisville KY US
Face recognition is a key biometric method aiming at identifying individuals by the features of face. Due to the challenges facing face recognition from 2D images, researchers have resorted to 3D face recognition. Our... 详细信息
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DEFORMABLE MODELS FOR RANDOM SMALL-SIZE OBJECTS: CASE OF LUNG NODULES IN CT TOMOGRAPHY
DEFORMABLE MODELS FOR RANDOM SMALL-SIZE OBJECTS: CASE OF LUN...
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IEEE International Conference on Acoustics, Speech and Signal processing
作者: Amal A. Farag James H. Graham Aly A. Farag Imaging Biomarkers and Computer-Aided Diagnosis Laboratory National Institutes of Health Bethesda MD Computer Vision and Image Processing Laboratory University of Louisville Louisville KY
Deformable models are common in image modeling and analysis. Random objects provide major challenges as shapes and appearances are hard to quantify;hence, formulation of deformable models are much harder to construct ... 详细信息
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SHREC'13 Track: Retrieval of objects captured with low-cost depth-sensing cameras  6
SHREC'13 Track: Retrieval of objects captured with low-cost ...
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6th Eurographics Workshop on 3D Object Retrieval, 3DOR 2013
作者: Machado, J. Ferreira, A. Pascoal, P.B. Abdelrahman, M. Aono, M. El-Melegy, M. Farag, A. Johan, H. Li, B. Lu, Y. Tatsuma, A. INESC-ID IST Technical University of Lisbon Portugal Microsoft Language Development Center Portugal Toyohashi University of Technology Japan Department of Computer Science Texas State University San Marcos United States Fraunhofer IDM at NTU Singapore Singapore Computer Vision and Image Processing Laboratory University of Louisville Louisville United States
The SHREC'13 Track: Retrieval of Objects Captured with Low-Cost Depth-Sensing Cameras is a first attempt at evaluating the effectiveness of 3D shape retrieval algorithms in low fidelity model databases, such as th... 详细信息
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