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Título del libro: 17th International Conference On Electronics, Communications And Computers, Conielecomp'07, Proceedings
Título del capítulo: Scenary reconstruction with monocular vision and genetic algorithms

Autores UNAM:
RODRIGO MONTUFAR CHAVEZNAVA;
Autores externos:
Idioma:
Año de publicación:
2007
Palabras clave:

Cameras; Computational methods; Genetic algorithms; Image analysis; Stereo vision; Analogy; Computational operations; Evolutionary rules; Monocular vision; Image reconstruction

Resumen:

When reconstructing a scenario, it is necessary to know the structure of the elements present on the scene to have an interpretation of the world. In this work we employ vision stereo principles to carry out 3D scenes reconstruction through evolutionary algorithms. Vision stereo usually requires of two cameras, making an analogy to the mammalian vision system, and then it allows the reconstruction of a scene from the couple of images of the scene and performing some computational operations. In this work we employ only a camera, which is translated along a path, capturing images every certain distance. As we can not perform all computations required for an exhaustive reconstruction, we employ an evolutionary algorithm to partially reconstruct the scene. The algorithm employed is the fly algorithm, which employ "flies" to reconstruct the principal characteristics of the world following certain evolutionary rules. © 2007 IEEE.

Entidades citadas de la UNAM:
Fuente:


ISBN:
076952799X
Editorial:
IEEE Computer Society

Tipo de producto:
Conference Paper



DOI:
10.1109/CONIELECOMP.2007.32