This paper recalls one of the most critical problems for the area of
computer vision, the automatic location of a single camera. Today,
several robotic devices rely on technologies other than visual
information to perform self-localization. An artificial optical system
will significantly benefit from knowing its location within a
three-dimensional world since this is a crucial step to approach other
complex tasks. In this paper, we will show how to compute the position
of the camera through an uncalibrated method making use of projective
properties, the projection model of the camera, and some reference
points. We introduce a simple yet powerful way to detect coded targets
in photographic images. Then, we describe an uncalibrated approach
used to identify the location of a camera in three-dimensional space.
The experiments carried out confirm the validity of our proposal.
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