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Accurate Detection Of Edge Orientation For Color And
"... Frequency domain properties of an image are used for precise detection of edge orientation in color and multispectral imagery. The orientation estimation is established as a minimization problem, formulated as a tensor method, and simplified by solving its dual in terms of spatial partial derivativ ..."
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Frequency domain properties of an image are used for precise detection of edge orientation in color and multispectral imagery. The orientation estimation is established as a minimization problem, formulated as a tensor method, and simplified by solving its dual in terms of spatial partial
On edge orienting methods for graph coloring
, 2006
"... We consider the problem of orienting the edges of a graph so that the length of a longest path in the resulting digraph is minimum. As shown by Gallai, Roy and Vitaver, this edge orienting problem is equivalent to finding the chromatic number of a graph. We study various properties of edge orienting ..."
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Cited by 3 (1 self)
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We consider the problem of orienting the edges of a graph so that the length of a longest path in the resulting digraph is minimum. As shown by Gallai, Roy and Vitaver, this edge orienting problem is equivalent to finding the chromatic number of a graph. We study various properties of edge
IMPACT OF LEADINGEDGE ORIENTATION AND SHAPE ON PERFORMANCE OF COMPRESSOR BLADES
, 2005
"... Impact of leadingedge orientation and shape ..."
EdgeOriented Uniform Intra Prediction
"... Abstract—We propose an intra prediction solution to blockbased image compression. In order to adapt to local image features during intra prediction, we consider the distinct image singularities within the model of piecewise smooth functions. With such singularities, i.e., edges in this paper, intr ..."
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Cited by 6 (1 self)
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, intra prediction can be performed by solving Laplace equations. Moreover, since edges exhibit spatial correlations, we design a ratedistortion optimized method for edge extraction and edge coding. Our edgeoriented intra prediction thus consists of the prediction of smooth regions as well
Fast Edge Orientation for Unweighted Graphs
"... Abstract We consider an unweighted undirected graph with n vertices, m edges, and edge connectivity 2k. The weak edge orientation problem requires that the edges of this graph be oriented so the resulting directed graph is at least k edgeconnected. NashWilliams proved the existence of such orient ..."
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Abstract We consider an unweighted undirected graph with n vertices, m edges, and edge connectivity 2k. The weak edge orientation problem requires that the edges of this graph be oriented so the resulting directed graph is at least k edgeconnected. NashWilliams proved the existence
Fast Edge Orientation for Unweighted Graphs
"... We consider an unweighted undirected graph with n vertices, m edges, and edgeconnectivity 2k. The weak edge orientation problem requires that the edges of this graph be oriented so the resulting directed graph is at least k edgeconnected. NashWilliams proved the existence of such orientations and ..."
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We consider an unweighted undirected graph with n vertices, m edges, and edgeconnectivity 2k. The weak edge orientation problem requires that the edges of this graph be oriented so the resulting directed graph is at least k edgeconnected. NashWilliams proved the existence of such orientations
Histograms of Oriented Gradients for Human Detection
 In CVPR
, 2005
"... We study the question of feature sets for robust visual object recognition, adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient based descriptors, we show experimentally that grids of Histograms of Oriented Gradient (HOG) descriptors significantly out ..."
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Cited by 3735 (9 self)
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We study the question of feature sets for robust visual object recognition, adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient based descriptors, we show experimentally that grids of Histograms of Oriented Gradient (HOG) descriptors significantly
Edge oriented reinforced random walks and RWRE
 C. R. ACAD. SCI. PARIS, SER. I 335 (2002) 941–946
, 2002
"... The aim of this text is to present, in a general framework, a precise and explicit correspondance between a class of edge oriented reinforced random walks and random walks in random environment. ..."
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Cited by 9 (5 self)
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The aim of this text is to present, in a general framework, a precise and explicit correspondance between a class of edge oriented reinforced random walks and random walks in random environment.
The "Independent Components" of Natural Scenes are Edge Filters
, 1997
"... It has previously been suggested that neurons with line and edge selectivities found in primary visual cortex of cats and monkeys form a sparse, distributed representation of natural scenes, and it has been reasoned that such responses should emerge from an unsupervised learning algorithm that attem ..."
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Cited by 617 (29 self)
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It has previously been suggested that neurons with line and edge selectivities found in primary visual cortex of cats and monkeys form a sparse, distributed representation of natural scenes, and it has been reasoned that such responses should emerge from an unsupervised learning algorithm
Edge Orientationbased Fuzzy Hough Transform (EOFHT)
 CONFERENCE OF THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY
, 2003
"... The Hough Transform [6]HT is a standard tool in image analysis that allows recognizing global patterns in an image space. To detect shapes in noisy data, preserving the idea of the conventional HT, but allowing detection of approximate shapes, the Fuzzy Hough TransformFHTwas introduced [8]. Based ..."
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]. Based on the FHT way of work, we propose an Edge Orientationbased Fuzzy Hough TransformEOFHT wherein the information provided by the gradient vector is considered. The use of gradient vector's stability properties allows considering only some relevant orientations, so reducing the computational
Results 1  10
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3,706