Resultats globals: 3 registres trobats en 0.06 segons.
Articles, 3 registres trobats
Articles 3 registres trobats  
1.
15 p, 1.7 MB Detecting human heads with their orientations / Sugimoto, Akihiro (National Institute of Informatics (Tòquio, Japó)) ; Kimura, Mitsuhiro (Kyoto University. Graduate School of Informatics) ; Matsuyama, Takashi (Kyoto University. Graduate School of Informatics)
We propose a two-step method for detecting human heads with their orientations. In the first step, the method employs an ellipse as the contour model of human-head appearances to deal with wide variety of appearances. [...]
2005 - 10.5565/rev/elcvia.112
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 3 (2005) p. 133-147  
2.
11 p, 2.5 MB An Appearance-Based Method for Parametric Video Registration / Orriols, Xavier (Centre de Visió per Computador (Bellaterra, Catalunya)) ; Binefa i Valls, Xavier (Centre de Visió per Computador (Bellaterra, Catalunya)) ; Barceló Dachs, Lluis (Centre de Visió per Computador (Bellaterra, Catalunya))
In this paper we address the problem of multi frame video registration using the combination of an appearance-based technique and a parametric model of the transformations. This technique uses an image that is selected as reference frame, and therefore, estimates the transformation that occurred to each frame in the sequence respect to this absolute referenced one. [...]
2003 - 10.5565/rev/elcvia.62
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 2 n. 1 (2003) p. 1-11  
3.
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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