Scenary Reconstruction with Monocular Vision and Genetic Algorithms

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