ELCVIA

ELCVIA 6 records found  Search took 0.00 seconds. 
1.
1 p, 13.1 KB Special Issue on Partial Differential Equations in Computer Graphics and Vision / Sporring, Jon (University of Copenhagen. Department of Computer Science)
2007 - 10.5565/rev/elcvia.143
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 6 Núm. 2 (2007) , p. 0-0  
2.
8 p, 1.1 MB Separating Rigid Motion for Continuous Shape Evolution / Overgaard, Niels Chr. (Malmo University (Suècia)) ; Solem, Jan Erik (Malmo University (Suècia))
A method is proposed for the construction of descent directions for the minimization of energy functionals defined for plane curves. The method is potentially useful in a number of image analysis problems, such as image registration and shape warping, where the standard gradient descent curve evolutions are not always feasible. [...]
2007 - 10.5565/rev/elcvia.144
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 2 (2007) p. 1-8  
3.
13 p, 569.2 KB A PDE Method to Segment Image Linear Objects with Application to Lens Distortion Removal / El-Melegy, Moumen T. (Assiut University (Assiut, Egipte). Electrical Engineering Department) ; Al-Ashwal, Nagi H. (Assiut University (Assiut, Egipte). Electrical Engineering Department)
In this paper, we propose a partial differential equation based method to segment image objects, which have a given parametric shape based on energy functional. The energy functional is composed of a term that detects object boundaries and a term that constrains the contour to find a shape compatible with the parametric shape. [...]
2007 - 10.5565/rev/elcvia.145
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 2 (2007) p. 9-21  
4.
14 p, 3.5 MB Fast image processing with constraints by solving linear PDEs / Kusnezow, Witali (Teleca Systems GmbH (Bochum, Alemanya)) ; Horn, Wilfried (Ruhr-University (Bochum, Alemanya). Institut fur Neuroinformatik) ; Wurtz, Rolf P (Ruhr-University (Bochum, Alemanya). Institut fur Neuroinformatik)
We present a general framework that allows image filtering by minimization of a functional using a linear and positive definite partial differential equation (PDE) while also permitting to control the weight of each pixel individually. [...]
2007 - 10.5565/rev/elcvia.146
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 2 (2007) p. 22-36  
5.
18 p, 703.5 KB Wavelets and partial differential equations for image denoising / Bruni, Vittoria (Istituto per le Applicazioni del Calcolo "M. Picone" (Roma, Itàlia)) ; Piccoli, Benedetto (Istituto per le Applicazioni del Calcolo "M. Picone" (Roma, Itàlia)) ; Vitulano, Domenico (Istituto per le Applicazioni del Calcolo "M. Picone" (Roma, Itàlia))
In this paper a wavelet based model for image de-noising is presented. Wavelet coefficients are modelled as waves that grow while dilating along scales. The model establishes a precise link between corresponding modulus maxima in the wavelet domain and then allows to predict wavelet coefficients at each scale from the first one. [...]
2006 - 10.5565/rev/elcvia.147
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 2 (2006) p. 36-53  
6.
13 p, 914.6 KB A Variational Approach to 3D Cylindrical Geometry Reconstruction from Multiple Views / Alvarez, Luis (Universidad de Las Palmas de Gran Canaria. Departamento de Informatica y Sistemas) ; Cuenca, Carmelo (Universidad de Las Palmas de Gran Canaria. Departamento de Informatica y Sistemas) ; Salgado, Agustín (Universidad de Las Palmas de Gran Canaria. Departamento de Informatica y Sistemas) ; Sanchez, Javier (Universidad de Las Palmas de Gran Canaria. Departamento de Informatica y Sistemas)
In this paper we present a variational technique for the reconstruction of 3D cylindrical surfaces. Roughly speaking by a cylindrical surface we mean a surface that can be parameterized using the projection on a cylinder in terms of two coordinates, (l, ?), representing the displacement and angle in a cylindrical coordinate system respectively. [...]
2006 - 10.5565/rev/elcvia.148
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 2 (2006) p. 54-66  

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