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检索条件"机构=Computer Vision and Pattern"
1001 条 记 录,以下是111-120 订阅
排序:
Document-zone classification in torn documents
Document-zone classification in torn documents
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International Conference on Frontiers in Handwriting Recognition
作者: Chanda, Sukalpa Franke, Katrin Pal, Umapada Dept. of Computer Science and Media Technology Gjøvik University College Norway Computer Vision and Pattern Recognition Unit Indian Statistical Institute India
Arbitrary orientation and sparse data content are common characteristics of torn document. To ensure accuracy and reliability in computer-based analysis, content-zone segmentation is required. In our previous work, we... 详细信息
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An efficient algorithm for detection of road-like structures in satellite images
An efficient algorithm for detection of road-like structures...
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13th International Conference on pattern Recognition, ICPR 1996
作者: Mukherjee, A. Parui, S.K. Chaudhuri, D. Chaudhuri, B.B. Krishnan, R. Computer Vision and Pattern Recognition Unit Indian Statistical Institute Calcutta India Advanced Data Processing Research Institute Secunderabad India
Road networks are important features of satellite imagery. The main contribution of the present road detection method consists of an effective enhancement technique and an efficient segmentation technique that removes... 详细信息
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Semi-supervised multi-feature learning for person re-identification
Semi-supervised multi-feature learning for person re-identif...
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2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013
作者: Figueira, Dario Bazzani, Loris Minh, Ha Quang Cristani, Marco Bernardino, Alexandre Murino, Vittorio Pattern Analysis and Computer Vision Istituto Italiano di Tecnologia Genova Italy ISR Instituto Superior Técnico Lisboa Portugal
Person re-identification is probably the open challenge for low-level video surveillance in the presence of a camera network with non-overlapped fields of view. A large number of direct approaches has emerged in the l... 详细信息
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On minimizing errors in 3D reconstruction for stereo camera systems
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pattern Recognition and Image Analysis 2007年 第2期17卷 337-348页
作者: Wenhardt, S. Denzler, J. Niemann, H. Department of Pattern Recognition University of Erlangen-Nurnberg Martensstr. 3 91058 Erlangen Germany Department of Computer Vision Friedrich Schiller University of Jena Ernst-Abbe-Platz 2 07743 Jena Germany
Active reconstruction of 3D surfaces deals with the control of camer a viewpoints to minimize error and uncertainty in the reconstructed shape of an object. In this paper we develop a mathematical relationship between... 详细信息
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Geometric image labeling with global convex labeling constraints  11th
Geometric image labeling with global convex labeling constra...
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11th International Conference on Energy Minimization Methods in computer vision and pattern Recognition, EMMVCPR 2017
作者: Zern, Artjom Rohr, Karl Schnörr, Christoph Image and Pattern Analysis Group Heidelberg University Heidelberg Germany Biomedical Computer Vision Group BIOQUANT Heidelberg University Heidelberg Germany
In [2], a smooth geometric labeling approach was introduced by following the Riemannian gradient flow of a given objective function on the so-called assignment manifold. The approach evaluates a user-defined data term... 详细信息
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Segmentation of Bangla handwritten text into characters by recursive contour following  5
Segmentation of Bangla handwritten text into characters by r...
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5th International Conference on Document Analysis and Recognition, ICDAR 1999
作者: Bishnu, A. Chaudhuri, B.B. Computer Vision and Pattern Recognition Unit Indian Statistical Institute 203 B. T. Road Calcutta700035 India
Segmentation of handwritten words into characters is one of the important components in handwritten text OCR. In this paper we put forward a method for the segmentation of handwritten Bangla (an Indo-Bangladeshi langu...
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Fisher kernels for handwritten word-spotting
Fisher kernels for handwritten word-spotting
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ICDAR2009 - 10th International Conference on Document Analysis and Recognition
作者: Perronnin, Florent Rodriguez-Serrano, Jose A. Textual and Visual Pattern Analysis Xerox Research Centre Europe France Computer Vision Centre Universitat Autonoma de Barcelona Spain
The Fisher kernel is a generic framework which combines the benefits of generative and discriminative approaches to pattern classification. In this contribution, we propose to apply this framework to handwritten word-... 详细信息
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Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices  12
Kernel-based classification for brain connectivity graphs on...
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12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
作者: Dodero, Luca Minh, Ha Quang Biagio, Marco San Murino, Vittorio Sona, Diego Pattern Analysis and Computer Vision Istituto Italiano di Tecnologia Genova Italy NeuroInformatics Laboratory Fondazione Bruno Kessler Trento Italy
An important task in connectomics studies is the classification of connectivity graphs coming from healthy and pathological subjects. In this paper, we propose a mathematical framework based on Riemannian geometry and... 详细信息
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CNN based common approach to handwritten character recognition of multiple scripts  13
CNN based common approach to handwritten character recogniti...
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13th International Conference on Document Analysis and Recognition, ICDAR 2015
作者: Maitra, Durjoy Sen Bhattacharya, Ujjwal Parui, Swapan K. Computer Vision and Pattern Recognition Unit Indian Statistical Institute 203 B. T. Road Kolkata-108 India
There are many scripts in the world, several of which are used by hundreds of millions of people. Handwritten character recognition studies of several of these scripts are found in the literature. Different hand-craft... 详细信息
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Multi-spectral scale and rotation invariant associative memory method for pattern recognition
Multi-spectral scale and rotation invariant associative memo...
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Optics, Illumination, and Image Sensing for Machine vision III 1988
作者: Kimball, Steven F. Messner, Richard A. University of New Hampshire Synthetic Vision and Pattern Analysis Laboratory Department of Electrical and Computer Engineering DurhamNH03824 United States
The method of using log-polar mapping with spectral band separation to form feature vectors for an associative memory is investigated. Log-polar mapping is used to provide the scale and rotation invariant properties. ... 详细信息
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