ELCVIA : Electronic Letters on Computer Vision and Image Analysis
ELCVIA (ISSN electrónico 1577-5097) es una revista exclusivamente electrónica conocida a nivel internacional sobre investigación y aplicaciones de la visión por computadora y el análisis de imágenes. Su comité editorial está formado por expertos reconocidos internacionalmente. Todos los artículos son revisados por especialistas mediante peer-review y actualmente tiene un porcentaje de aceptación del 25% de los artículos recibidos. Los principales objetivos de la revista son:
  • Ser una revista de referencia a nivel internacional en el campo de la Visión por Computador.
  • Ser una publicación de calidad.
  • Ser un medio de comunicación rápido y dinámico, con una revisión rápida de los artículos.
  • Tener índice de impacto dentro de la base de datos de SCI.
Últimas adquisiciones:
2015-03-12
15:43

2 p, 4.4 MB
Retinal Image Analysis Oriented to the Clinical Task / Marrugo, Andrés G. (Universidad Tecnologica de Bolívar (Cartagena, Colòmbia). Facultad de Ingeniería)
Ophthalmology can profit greatly from the analysis of digital images because they can aid in establishing an early diagnosis even before the first symptoms appear. This dissertation [1] contributes to the digital analysis of such images and the problems that arise along the imaging pipeline of fundus photography, a field that is commonly referred to as retinal image analysis. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13 Núm. 2 (2014) , p. 54-55  
2015-03-11
13:52

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
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 6 Núm. 2 (2007) , p. 0-0  
2015-03-11
13:43

17 p, 1.1 MB
Correction for Camera Roll in a Perspectively Distorted Image : cases for 2 and 3 point perspectives / Avinash, N. (College of Engineering (Mandya,Índia)) ; Murali, S. (College of Engineering (Mandya,Índia))
We propose a method for correction of camera roll in a perspectively distorted image. Here we employ the rectification of the horizon line formed from the vanishing points in order to bring back the image rotation caused from the camera roll. [...]
2007
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 6 n. 3 (2007) , p. 67-83  
2015-03-10
16:26

1 p, 43.7 KB
List of reviewers
The following is a list of reviewers who from January 2007 to December 2007, have contributed their time and talent to the success of the publication of the ELECTRONIC LETTERS ON COMPUTER VISION AND IMAGE ANALYSIS.
2007
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 6 n. 1 (2007) , p. 55-55  
2014-07-29
14:03

2 p, 19.5 KB
Moving cast shadow detection / Amato, Ariel
Motion perception is an amazing innate ability of the creatures on the planet. This adroitness entails a functional advantage that enables species to compete better in the wild. The motion perception ability is usually employed at different levels, allowing from the simplest interaction with the ’physis’ up to the most transcendental survival tasks. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 70-71  
2014-07-29
13:54

335 p, 17.2 MB
Exploiting multimedia content : a machine learning based approach / Hassa, Ehtesham
This thesis explores use of machine learning for multimedia content management involving single/multiple features, modalities and concepts. We introduce shape based feature for binary patterns and apply it for recognition and retrieval application in single and multiple feature based architecture. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 69-69
2 documents
2014-07-29
13:42

2 p, 57.6 KB
Automatic information and safety systems for driving assistance / Riem de Oliveira, Miguel Armando
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 49-50
2 documents
2014-07-29
13:33

1 p, 46.7 KB
Colour constancy in natural images through colour naming and sensor sharpening / Vázquez Corral, Javier
Colour is derived from three physical properties: incident light, object reflectance and sensor sensitivities. Incident light varies under natural conditions; hence, recovering scene illuminant is an important issue in computational colour. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 31-31
2 documents
2014-07-29
13:26

3 p, 72.2 KB
Algorithms for selecting parameters of combination of acyclic adjacency graphs in the problem of texture image processing / Viet Sang, Dinh
Nowadays the great interest of researchers in the problem of processing the interrelated data arrays including images is retained. In the modern theory of machine learning, the problem of image processing is often viewed as a problem in the field of graph models. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 35-37
3 documents
2014-07-29
13:20

2 p, 6.5 MB
Multi-class learning for vessel characterisation in intravascular ultrasound / Ciompi, Francesco
In this thesis we tackle the problem of automatic characterization of human coronary vessel in IntravascularUltrasound (IVUS) image modality. The basis for the whole characterization process is machinelearning applied to multi-class problems. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 47-48