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PR
2007
88views more  PR 2007»
13 years 12 months ago
Robust kernel Isomap
Isomap is one of widely-used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional s...
Heeyoul Choi, Seungjin Choi
PR
2007
82views more  PR 2007»
13 years 12 months ago
Extracting image orientation feature by using integration operator
This paper presents an orientation operator to extract image local orientation features. We show that a proper employment of image integration leads to an unbiased orientation est...
Xudong Jiang
PR
2007
118views more  PR 2007»
13 years 12 months ago
Shape recognition using eigenvalues of the Dirichlet Laplacian
The eigenvalues of the Dirichlet Laplacian are used to generate three different sets of features for shape recognition and classification in binary images. The generated feature...
Mohamed A. Khabou, Lotfi Hermi, Mohamed Ben Hadj R...
PR
2007
141views more  PR 2007»
13 years 12 months ago
A Riemannian approach to graph embedding
In this paper, we make use of the relationship between the Laplace–Beltrami operator and the graph Laplacian, for the purposes of embedding a graph onto a Riemannian manifold. T...
Antonio Robles-Kelly, Edwin R. Hancock
PR
2007
149views more  PR 2007»
13 years 12 months ago
Real-time detection of steam in video images
In this paper, we present a real-time image processing technique for the detection of steam in video images. The assumption made is that the presence of steam acts as a blurring p...
Ricardo J. Ferrari, H. Zhang, C. R. Kube
PR
2007
126views more  PR 2007»
13 years 12 months ago
Convex hull based skew estimation
Skew estimation and page segmentation are the two closely related processing stages for document image analysis. Skew estimation needs proper page segmentation, especially for doc...
Bo Yuan, Chew Lim Tan
PR
2007
77views more  PR 2007»
13 years 12 months ago
PCA-based web page watermarking
Qijun Zhao, Hongtao Lu
PR
2007
84views more  PR 2007»
13 years 12 months ago
Attention-based similarity
A similarity measure is described that does not require the prior specification of features or the need for training sets of representative data. Instead large numbers of feature...
Fred Stentiford