Abstract
In this paper, we present a quantitative analysis of the error in the
reconstruction of a 3D scene which has been captured with Synthetic Aperture
Integral Imaging system. The 3D information
is obtained from 2D images for which the camera parameters are unknown. The
model used for calibrating the Integral Imaging camera setup is based on fuzzy
systems. These systems provide the opportunity for modeling of conditions
which are inherently imprecisely defined. We demonstrate that the error in
the 3D reconstruction not only depends on the number of cameras, but also
to their relative positions. Our model is applied to a set of images
captured experimentally from a real object. A true-color real scale 3D reconstruction
is successfully achieved.
© 2014 IEEE
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