Resultats globals: 6 registres trobats en 0.02 segons.
Articles, 6 registres trobats
Articles 6 registres trobats  
1.
17 p, 328.5 KB Formalization of the General Video Temporal Synchronization Problem / Whitehead, Anthony (Carleton Univeristy (Ottawa, Canadà)) ; Laganiere, Robert (University of Ottawa (Canadà)) ; Bose, Prosenjit (Carleton Univeristy (Ottawa, Canadà))
In this work, we present a theoretical formalization of the temporal synchronization problem and a method to temporally synchronize multiple stationary video cameras with overlapping views of the same scene. [...]
2010 - 10.5565/rev/elcvia.330
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 9, Núm. 1 ( 2010) , p. 1-17  
2.
11 p, 369.9 KB Analyzing objects in images for estimating the delamination influence on load carrying capacity of composite laminates / Durão, Luís Miguel (Instituto Superior de Engenharia do Porto) ; Magalhães, António G. (Instituto Superior de Engenharia do Porto) ; Tavares, João Manuel R. S. (Universidade do Porto. Faculdade de Engenharia) ; Torres Marques, A. (Universidade do Porto. Faculdade de Engenharia)
The use of fiber reinforced plastics has increased in the last decades due to their unique properties. Advantages of their use are related with low weight, high strength and stiffness. Drilling of composite plates can be carried out in conventional machinery with some adaptations. [...]
2008 - 10.5565/rev/elcvia.187
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 7 n. 2 (2008) p. 11-21  
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.
12 p, 340.2 KB An Adaptive Color Image Segmentation / Deshmukh, K. S. (M.G.M's CS & IT. Computer Science Department (Nanded, Índia)) ; Shinde, G. N. (Y.M. Research center. Electronics Department (Nanded, Índia))
A novel Adaptive Color Image Segmentation (ACIS) System for color image segmentation is presented. The proposed ACIS system uses a neural network with architecture similar to the multilayer perceptron (MLP) network. [...]
2006 - 10.5565/rev/elcvia.115
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 4 (2006) p. 12-23  
5.
13 p, 574.4 KB MRF-based image segmentation using Ant Colony System / Salima, Ouadfel (Mentouri University (Algèria). Computer Science Department) ; Mohamed, Batouche (Mentouri University (Algèria). Computer Science Department)
In this paper, we propose a novel method for image segmentation that we call ACS-MRF method. ACS-MRF is a hybrid ant colony system coupled with a local search. We show how a colony of cooperating ants are able to estimate the labels field and minimize the MAP estimate. [...]
2003 - 10.5565/rev/elcvia.63
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 2 n. 1 (2003) p. 12-24  
6.
7 p, 26.7 KB Presentation of ELCVIA / Bunke, Horst (University of Bern. Institut für Informatik und Angewandte Mathematik) ; Villanueva Pipaón, Juan José (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
This paper wants to be a presentation of the e-journal Electronic Letters on Computer Vision and Image Analysis (ELCVIA). ELCVIA is a new electronic journal whose aim is to provide a forum where Computer Vision and Image Analysis researchers can discuss about methods, applications and experiences in this field. [...]
2002 - 10.5565/rev/elcvia.201
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 0 n. 0 (2002) p. 1-7  

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