Tecnicas de seguimiento de caracteristicas faciales en secuencias de imágenes basadas en metodos de libre modelo.
DOI:
https://doi.org/10.22517/23447214.2227Abstract
Las características faciales juegan un papel importante en el desarrollo de sistemas basados en visión por computador para diferentes aplicaciones como son: la interacción hombre maquina, reconocimiento automático de expresiones faciales o también la identificación de la fatiga en conductores de automóviles, dentro de estos sistemas, el seguimiento de características faciales es una de las etapas que necesitan ser desarrolladas, por lo tanto, este documento se centra en la revisión de las diferentes técnicas para el seguimiento de características faciales, como son métodos de libre modelo (filtro de Kalman, filtro de partículas, entre otras).Downloads
Downloads
-
Vistas(Views): 203
- PDF (Español (España)) Descargas(Downloads): 260
Published
How to Cite
Issue
Section
License
Copyrights
The journal is free open access. The papers are published under the Creative Commons Attribution / Attribution-NonCommercial-NoDerivatives 4.0 International - CC BY-NC-ND 4.0 license. For this reason, the author or authors of a manuscript accepted for publication will yield all the economic rights to the Universidad Tecnológica of Pereira free of charge, taking into account the following:
In the event that the submitted manuscript is accepted for publication, the authors must grant permission to the journal, in unlimited time, to reproduce, to edit, distribute, exhibit and publish anywhere, either by means printed, electronic, databases, repositories, optical discs, Internet or any other required medium. In all cases, the journal preserves the obligation to respect, the moral rights of the authors, contained in article 30 of Law 23 of 1982 of the Government Colombian.
The transferors using ASSIGNMENT OF PATRIMONIAL RIGHTS letter declare that all the material that is part of the article is entirely free of copyright. Therefore, the authors are responsible for any litigation or related claim to intellectual property rights. They exonerate of all responsibility to the Universidad Tecnológica of Pereira (publishing entity) and the Scientia et Technica journal. Likewise, the authors accept that the work presented will be distributed in free open access, safeguarding copyright under the Creative Commons Attribution / Recognition-NonCommercial-NoDerivatives 4.0 International - https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es license.