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» Covariant Derivatives and Vision
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ICPR
2006
IEEE
15 years 11 months ago
Line Detection and Texture Characterization of Network Patterns
This paper describes a complete approach to detect, localize and describe network patterns. Such texture is automatically detected with Gaussian derivative kernels and Fisher line...
Costantino Grana, Giovanni Pellacani, Rita Cucchia...
ICPR
2000
IEEE
15 years 11 months ago
A Comparative Study of Filter Based Texture Operators Using Mahalanobis Distance
Texture feature extraction operators, which comprise linear filtering, eventually followed by post-processing, are considered. The filters used are Laws' masks, filters deriv...
Simona E. Grigorescu, Nicolai Petkov, Peter Kruizi...
ICCV
2005
IEEE
15 years 3 months ago
Degenerate Cases and Closed-form Solutions for Camera Calibration with One-Dimensional Objects
Camera Calibration with one-dimensional objects is based on an algebraic constraint on the image of the absolute conic. We will give an alternative derivation to this constraint, ...
Pär Hammarstedt, Peter F. Sturm, Anders Heyde...
BMCBI
2010
154views more  BMCBI 2010»
14 years 10 months ago
Fine-tuning structural RNA alignments in the twilight zone
Background: A widely used method to find conserved secondary structure in RNA is to first construct a multiple sequence alignment, and then fold the alignment, optimizing a score ...
Andreas Bremges, Stefanie Schirmer, Robert Giegeri...
SIAMSC
2011
177views more  SIAMSC 2011»
14 years 4 months ago
Computing f(A)b via Least Squares Polynomial Approximations
Given a certain function f, various methods have been proposed in the past for addressing the important problem of computing the matrix-vector product f(A)b without explicitly comp...
Jie Chen, Mihai Anitescu, Yousef Saad