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检索条件"任意字段=2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005"
6545 条 记 录,以下是4741-4750 订阅
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Radiometric alignment of image sequences
Radiometric alignment of image sequences
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conference on computer vision and pattern recognition (cvpr)
作者: Seon Joo Kim M. Pollefeys Department of Computer Science North Carolina State University Chapel Hill NC USA
Color values in an image are related to image irradiance by a nonlinear function called radiometric response function. Since this function depends on the aperture and the shutter speed, image intensity of a same objec... 详细信息
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Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
Using Multiple Segmentations to Discover Objects and their E...
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conference on computer vision and pattern recognition (cvpr)
作者: B.C. Russell W.T. Freeman A.A. Efros J. Sivic A. Zisserman CS and AI Laboratory Massachusetts Institute of Technology Cambridge MA USA School of Computer Science Carnegie Mellon University Pittsburgh PA USA Department of Engineering Science University of Oxford Oxford UK
Given a large dataset of images, we seek to automatically determine the visually similar object and scene classes together with their image segmentation. To achieve this we combine two ideas: (i) that a set of segment... 详细信息
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A fast multigrid implicit algorithm for the evolution of geodesic active contours
A fast multigrid implicit algorithm for the evolution of geo...
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conference on computer vision and pattern recognition (cvpr)
作者: G. Papandreou P. Maragos School of Electrical and Computer Engin National and Technical University of Athens Athens Greece
Active contour models are among the most popular PDE-based tools in computer vision. In this paper we present a new algorithm for the fast evolution of geodesic active contours and compare it with other established nu... 详细信息
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Seamless Image Stitching of Scenes with Large Motions and Exposure Differences
Seamless Image Stitching of Scenes with Large Motions and Ex...
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conference on computer vision and pattern recognition (cvpr)
作者: A. Eden M. Uyttendaele R. Szeliski Computer Science Division University of California Berkeley USA Interactive Visual Media Group Microsoft Research Limited USA
This paper presents a technique to automatically stitch multiple images at varying orientations and exposures to create a composite panorama that preserves the angular extent and dynamic range of the inputs. The main ... 详细信息
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Spectral Methods for Automatic Multiscale Data Clustering
Spectral Methods for Automatic Multiscale Data Clustering
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conference on computer vision and pattern recognition (cvpr)
作者: A. Azran Z. Ghahramani Gatsby Computational Neuroscience Unit University College London London UK Learning Department Carnegie Mellon University Pittsburgh USA Department of Engineering University of Cambridge Cambridge UK
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new insights into how the method works and u... 详细信息
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Fuzzy Systems and Knowledge Discovery: Second International conference, FSKD 2005. Proceedings
Fuzzy Systems and Knowledge Discovery: Second International ...
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Second International Confernce on Fuzzy Systems and Knowledge Discovery, FSKD 2005
The proceedings contain 169 papers from the Fuzzy Systems and Knowledge Discovery: Second International conference, FSKD 2005. Proceedings. The topics discussed include: dimensionality reduction for semi-supervised fa... 详细信息
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Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
Beyond Bags of Features: Spatial Pyramid Matching for Recogn...
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conference on computer vision and pattern recognition (cvpr)
作者: S. Lazebnik C. Schmid J. Ponce Beckman Institute University of Illinois Urbana-Champaign USA INRIA Rhône-Alpes Montbonnot Saint Martin France Ecole Normale Supéerieure Paris France
This paper presents a method for recognizing scene categories based on approximate global geometric correspondence. This technique works by partitioning the image into increasingly fine sub-regions and computing histo... 详细信息
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Modeling and Classifying Breast Tissue Density in Mammograms
Modeling and Classifying Breast Tissue Density in Mammograms
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conference on computer vision and pattern recognition (cvpr)
作者: A. Bosch X. Munoz A. Oliver J. Marti Computer Vision and Robotics Group University of Girona Girona Spain
We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsupervised manner, and second, we will u... 详细信息
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Patch-based convolutional neural network for whole slide tissue image classification
Patch-based convolutional neural network for whole slide tis...
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2016 ieee conference on computer vision and pattern recognition, cvpr 2016
作者: Hou, Le Samaras, Dimitris Kurc, Tahsin M. Gao, Yi Davis, James E. Saltz, Joel H. Dept. of Computer Science Stony Brook University United States Dept. of Biomedical Informatics Stony Brook University United States Dept. of Applied Mathematics and Statistics Stony Brook University United States Oak Ridge National Laboratory United States Dept. of Pathology Stony Brook Hospital United States Cancer Center Stony Brook Hospital United States
Convolutional Neural Networks (CNN) are state-of-theart models for many image classification tasks. However, to recognize cancer subtypes automatically, training a CNN on gigapixel resolution Whole Slide Tissue Images... 详细信息
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The spectrum enhancement algorithm for feature extraction and pattern recognition
The spectrum enhancement algorithm for feature extraction an...
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Intelligent Robots and computer vision XXIII: Algorithms, Techniques, and Active vision
作者: Crosta, Giovanni Franco Inverse Problems and Mathematical Morphology Unit Department of Environmental Sciences Università Degli Studi Milano - Bicocca 1 Piazza delia Scienza I-20126 Milan Italy
The "enhanced spectrum" of an image g[&middot] is a fonction h[&middot] of wavenumber u obtained as follows. A reflection operation Q[&middot] is applied to g[&middot];the power spectral dens... 详细信息
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