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检索条件"机构=Computer Vision and Image Processing"
524 条 记 录,以下是111-120 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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Robust robotic path planning using level sets
Robust robotic path planning using level sets
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IEEE International Conference on image processing
作者: M.S. Hassouna A.E. Abdel-Hakim A.A. Farag Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY USA Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY
In this paper, we propose a general and robust robotic path planning framework for both planar and terrain environments using level set methods. The framework is general in the sense that it can be used for both 2D an... 详细信息
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Complexity optimization of adaptive RBF networks
Complexity optimization of adaptive RBF networks
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13th International Conference on Pattern Recognition, ICPR 1996
作者: Leonardis, Aleš Bischof, Horst Department for Pattern Recognition and Image Processing Technical University Vienna Treitlstraße 3/1832 A -1040 Vienna Austria University of Ljubljana Faculty of Computer and Information Science Computer Vision Laboratory Ljubljana Slovenia
We propose an extension of RBF networks which includes a mechanism for optimizing the complexity of the network. The approach involves two procedures: adaptation (training) and selection. The first procedure adaptivel... 详细信息
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A spatialoral parallel approach for real-time MPEG video compression  25
A spatialoral parallel approach for real-time MPEG video com...
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25th International Conference on Parallel processing, ICPP 1996
作者: Shen, Ke Delp, E.J. Purdue University School of Electrical Engineering Computer Vision and Image Processing Laboratory West LafayetteIN United States Purdue Multimedia Testbed West LafayetteIN47907-1285 United States
We present a parallel implementation of an MPEG encoder on the Intel Paragon supercomputer. In our approach, both spatial and temporal parallelism have been exploited, While the Paragon has the computation capacity to... 详细信息
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A highly efficient GPU implementation for variational optic flow based on the Euler-Lagrange framework
A highly efficient GPU implementation for variational optic ...
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11th European Conference on computer vision, ECCV 2010
作者: Gwosdek, Pascal Zimmer, Henning Grewenig, Sven Bruhn, Andrés Weickert, Joachim Mathematical Image Analysis Group Faculty of Mathematics and Computer Science Saarland University Saarbrücken 66041 Germany Vision and Image Processing Group Cluster of Excellence Multimodal Computing and Interaction Saarland University Saarbrücken 66123 Germany
The Euler-Lagrange (EL) framework is the most widely-used strategy for solving variational optic flow methods. We present the first approach that solves the EL equations of state-of-the-art methods on sequences with p... 详细信息
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A general-purpose platform for 3-D reconstruction from sequence of images
A general-purpose platform for 3-D reconstruction from seque...
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International Conference on Information Fusion
作者: A.H. Eid S.S. Rashad A.A. Farag Computer Vision and Image Processing Laboratory University of Louisville Louisville USA
A number of approaches have been proposed in the literature for reconstruction of 3-D objects from sequence of images. Yet, very few studies have been reported on the quantification/validation of the accuracy of these... 详细信息
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Learning discriminative local features from image-level labelled data for colonoscopy image classification
Learning discriminative local features from image-level labe...
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IEEE International Symposium on Biomedical Imaging
作者: Siyamalan Manivannan Emanuele Trucco CVIP Computer Vision and Image Processing group University of Dundee UK
In this paper we propose a novel weakly-supervised feature learning approach, learning discriminative local features from image-level labelled data for image classification. Unlike existing feature learning approaches... 详细信息
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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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International Conference on Pattern Recognition
作者: M.G.-H. Mostafa T.C. Perkins A.A. Farag Computer Vision and Image Processing Laboratory University of Louisville KY USA
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 of the conventional FCM clustering technique and Bayesian c... 详细信息
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Generalised ambient reflection models for Lambertian and Phong surfaces
Generalised ambient reflection models for Lambertian and Pho...
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IEEE International Conference on image processing
作者: Xiaozheng Zhang Yongsheng Gao Computer Vision and Image Processing Laboratory Griffith University Brisbane Australia
Ambient reflection is widely present in many applications of computer graphics and image processing, which is traditionally modelled as a constant free from environmental factors. This paper reconsiders ambient reflec... 详细信息
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Human object classification in daubechies complex wavelet domain  2nd
Human object classification in daubechies complex wavelet do...
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2nd International Conference on Context-Aware Systems and Applications, ICCASA 2013
作者: Khare, Manish Srivastava, Rajneesh Kumar Khare, Ashish Binh, Nguyen Thanh Dien, Tran Anh Image Processing and Computer Vision Lab Department of Electronics and Communication University of Allahabad Allahabad India Ho Chi Minh City University of Technology Ho Chi Minh Viet Nam
Human object classification is an important problem for smart video surveillance applications. In this paper we have proposed a method for human object classification, which classify the objects into two classes: huma... 详细信息
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