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.

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2013-04-04
20:19

16 p, 11.3 MB

Perceptual Color Image Smoothing via a New Region-Based PDE Scheme / Magnier, Baptiste ; Montesinos, Philippe ; Diep, Daniel
In this paper, we present a new color image regularization method using a rotating smoothing filter. This approach combines a pixel classification method, which roughly determines if a pixel belongs to a homogenous region or an edge with an anisotropic perceptual edge detector capable of computing two precise diffusion directions. [...]
2013
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 12, Núm. 1 (2013) , p. 17-32

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2013-04-04
20:13

16 p, 1.4 MB

Comprehensive analysis of high-performance computing methods for filtered back-projection / Mendl, Christian B. (Mathematics Department, Technische Universitat München) ; Eliuk, Steven (University of Alberta. Department of Radiology and Diagnostic Imaging) ; Noga, Michelle (University of Alberta. Servier Virtual Cardiac Centre) ; Boulanger, Pierre (University of Alberta. Department of Radiology and Diagnostic Imaging)
This paper provides an extensive runtime, accuracy, and noise analysis of Computed To-mography (CT) reconstruction algorithms using various High-Performance Computing (HPC) frameworks such as: “conventional” multi-core, multi threaded CPUs, Compute Unified Device Architecture (CUDA), and DirectX or OpenGL graphics pipeline programming. [...]
2013
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 12, Núm. 1 (2013) , p. 1-16

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2013-01-15
17:35

22 p, 2.6 MB

An Interactive Deformable Model Segmentation Algorithm Driven by Morphological Dilations and Erosions Constrained by an Exclusion Band / Carneiro de Andrade, Marcos
This study introduces an interactive image segmentation algorithm for extraction of ill-defined edges (faint, blurred or partially broken) often observed at small-scale imaging. It is based on a simplified deformable elastic model evolution paradigm. [...]
2012
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 11, Núm. 1 (2012) , p. 77-98

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2012-12-17
18:08

9 p, 2.8 MB

Handwritten Digit Recognition by Fourier-Packet Descriptors / Berthiaume, Vincent (Laboratory for Imagery, Vision and Artificial Intelligence (Montreal, Canadà)) ; Cheriet, Mohamed (Synchromedia Laboratory for Multimedia Communication in Telepresence (Montreal, Canadà))
Any statistical pattern recognition system includes a feature extraction component. For character patterns, several feature families have been tested, such as the Fourier-Wavelet Descriptors. We are proposing here a generalization of this family: the Fourier-Packet Descriptors. [...]
2012
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 11, Núm. 1 (2012) , p. 68-76

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2012-12-17
18:02

14 p, 645.4 KB

Vision Based Object Recognition and Localisation by a Wireless Connected Distributed Robotic Systems / Ahmed, M. Shuja ; Saatchi, Reza ; Caparrelli, Fabio ; Sheffield Hallam University. Material and Engineering Research Institute
Object recognition and localisation are important processes in computer vision and robotics. Advances in computer vision have resulted in many object recognition techniques, but most of them are computationally very intensive and require robots with powerful processing systems. [...]
2012
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 11, Núm. 1 (2012) , p. 54-67

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2012-11-06
15:06

14 p, 327.2 KB

Facial Expression Recognition Using New Feature Extraction Algorithm / Huang, Hung-Fu (National Cheng Kung University (Taiwan). Department of Electrical Engineering) ; Tai, Shen-Chuan (National Cheng Kung University (Taiwan). Department of Electrical Engineering)
This paper proposes a method for facial expression recognition. Facial feature vectors are generated from keypoint descriptors using Speeded-Up Robust Features. Each facial feature vector is then normalized and next the probability density function descriptor is generated. [...]
2012
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 11, Núm. 1 (2012) , p. 41-54

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2012-09-27
17:01

13 p, 3.3 MB

Two View Line-Based Motion and Structure Estimation for Planar Scenes / Mosaddegh, Saleh (Université de Bourgogne) ; Fofi, David (Université de Bourgogne) ; Vasseur, Pascal (Université de Picardie Jules Verne)
We present an algorithm for reconstruction of piece-wise planar scenes from only two views and based on minimum line correspondences. We first recover camera rotation by matching vanishing points based on the methods already exist in the literature and then recover the camera translation by searching among a family of hypothesized planes passing through one line. [...]
2012
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 11, n. 1 (2012) , p. 28

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2012-06-07
16:59

13 p, 918.0 KB

Novel CBIR System Based on Ripplet Transform Using Interactive Neuro-Fuzzy Technique / Chowdhury, Manish ; Das, Sudeb ; Kumar Kundu, Malay
Content Based Image Retrieval (CBIR) system is an emerging research area in effective digital data management and retrieval paradigm. In this article, a novel CBIR system based on a new Multiscale Geometric Analysis (MGA)-tool, called Ripplet Transform Type-I (RT) is presented. [...]
2012
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 11, Núm. 1 (2012) , p. 1-13

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2012-06-07
16:52

14 p, 979.4 KB

Implementing Cepstral Filtering Technique using Gabor Filters / Sharma, Sheena (Dayalbagh Educational Institute. Departement of Physics & Comp.) ; Agarwal, Harshit (Dayalbagh Educational Institute. Faculty of Engineering) ; Markan, C. M. (Dayalbagh Educational Institute. Departement of Physics & Comp.)
Cepstral filtering technique is applied on an interlaced image, the pattern similar to that which is found in layer IV of Primate Visual Cortex. Unless the signals from left and right eyes are placed simultaneously, the disparity cannot be detected. [...]
2012
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 11, Núm. 1 (2012) , p. 14-27

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2012-02-15
17:53

16 p, 560.3 KB

Fuzzy binary patterns for uncertainty-aware texture representation / Keramidas, Eystratios (University of Athens. Deptartament of Informatics and Telecommunications) ; Iakovidis, Dimitris (Technological Educational Institute of Lamia. Deptartament of Informatics and Computer Technology) ; Maroulis, Dimitris (University of Athens. Deptartament of Informatics and Telecommunications)
The Local Binary Pattern (LBP) representation of textures has been proved useful for a wide range of pattern recognition applications, including texture segmentation, face detection, and biomedical image analysis. [...]
2011
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 10, Núm. 1 (December 2011) , p. 63-78

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