DEPTH AND GEOMETRY FROM A SINGLE 2D IMAGE USING TRIANGULATION

We present a novel method for computing depth of field and
geometry from a single 2D image. This technique, unlike
the existing ones measures the absolute depth of field and
distances in the scene from single image only using the
concept of triangulation. This algorithm requires minimum
inputs such as camera height, camera pitch angle and
camera field of view for computing the depth of field and
3D coordinates of any given point in the image. In addition,
this method can be used to compute the actual size of an
object in the scene (width and height) as well as the distance between different objects in the image. The proposed methodology has the potential to be implemented in high impact applications such as distance measurement from
mobile phones, robot navigation and aerial surveillances.