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检索条件"任意字段=2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013"
4491 条 记 录,以下是4441-4450 订阅
排序:
Integration of transitory image sequences
Integration of transitory image sequences
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Weng Cui Ahuja Singh Computer Science Department Michigan State University East Lansing MI USA Beckman Institute University of Illinois Urbana IL USA Siemens Corporate Research Inc. Princeton NJ USA
A transitory image sequence is one in which no scene element is visible through the entire sequence. This article deals with some major theoretical and algorithmic issues associated with the task of estimating structu... 详细信息
来源: 评论
Deformable models with parameter functions: application to heart-wall modeling
Deformable models with parameter functions: application to h...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Park Metaxas Young Department of Computer & Information Science University of Pennsylvania Philadelphia PA USA Department of Radiology University of Pennsylvania Philadelphia PA USA
This paper develops a new class of physics-based deformable models which can deform both globally and locally. Their global parameters are functions allowing the definition of new parameterized primitives and paramete... 详细信息
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Gaussian normalisation of morphological size distributions for increasing sensitivity to texture variations and its applications to pavement distress classification
Gaussian normalisation of morphological size distributions f...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Bhagvati Skolnick Grivas Computer Ccience Department Rensselaer Polytechnic Institute Troy NY USA Civil Engineering Department Rensselaer Polytechnic Institute Troy NY USA
This paper investigates the use of morphological size distributions to characterize textures and explore their sensitivity to the presence of inhomogeneities and multiple textures. When the image texture is a result o... 详细信息
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Automated discovery of detectors and iteration-performing calculations to recognize patterns in protein sequences using genetic programming
Automated discovery of detectors and iteration-performing ca...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Koza Computer Science Department University of Stanford Stanford CA USA
This paper describes an automated process for the dynamic creation of a pattern-recognizing computer program consisting of initially unknown detectors, an initially-unknown iterative calculation incorporating the as-y... 详细信息
来源: 评论
An on-line cursive word recognition system
An on-line cursive word recognition system
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Seni Nasrabadi Srihari Center of Excellence for Document Analysis and Recognition State University of New York University at Buffalo Buffalo NY USA Department of Electrical and Computer Engineering State University of New York University at Buffalo Buffalo NY USA
This paper presents a system for large vocabulary recognition of on-line handwritten cursive words. The system first uses a filtering module, based on simple letter features, to quickly reduce a large reference dictio... 详细信息
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Merging range images of arbitrarily shaped objects
Merging range images of arbitrarily shaped objects
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Rutishauser Stricker Trobina Communications Technology Laboratory Swiss Federal Institute of Technology Zurich Switzerland
Range data offer a direct way to produce shape descriptions of surfaces. Typically single range images have the form of a graph surface z=g(z,y) and thus suffer from occlusion. One can reduce this problem by taking se... 详细信息
来源: 评论
Integration of bottom-up and top-down cues for visual attention using non-linear relaxation
Integration of bottom-up and top-down cues for visual attent...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Milanese Wechsler Gill Bost Pun Department of Computer Science University of Geneva Geneva Switzerland International Computer Science Institute Berkeley CA USA Department of Computer Science George Mason University Fairfax VA USA
Active and selective perception seeks regions of interest in an image in order to reduce the computational complexity associated with time-consuming processes such as object recognition. We describe in this paper a vi... 详细信息
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Adaptive-complexity registration of images
Adaptive-complexity registration of images
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Muller Anandan Bergen Center for Visual Science University of Rochester Rochester NY USA David Samoff Research Center Inc. Princeton NJ USA
We present a framework for image registration algorithms that finds a lowest-order model of the flow between two images. Low-order models are useful in image registration, because they leave scene structure intact. Bu... 详细信息
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Object recognition using multi-layer Hopfield neural network
Object recognition using multi-layer Hopfield neural network
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Young Scott Nasrabadi Department of Electrical & Computer Engineering State University of New York University at Buffalo Amherst NY USA
An object recognition approach based on concurrent coarse-and-fine matching using a multi-layer Hopfield neural network is presented. The proposed network consists of several cascaded single layer Hopfield networks, e... 详细信息
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recognition by functional parts [function-based object recognition]
Recognition by functional parts [function-based object recog...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Rivlin Dickinson Rosenfeld Department of Computer Science Technion-Israel Institute of Technology Haifa Israel Department of Computer Science University of Toronto Toronto ONT Canada Center for Automation Research University of Maryland College Park MD USA
We present an approach to function-based object recognition that reasons about the functionality of an object's initiative parts. We extend the popular "recognition by parts" shape recognition framework ... 详细信息
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