Featured Paper by
Keith Blonquist and Robert T. Pack
We present a method for the 3D reconstruction of objects from images captured in a surveillance setting using uncalibrated
hand-held cameras. The images considered are of distant objects occupying a small portion of the field-ofview
(FOV); have been captured in a non-systematic manner from varying aspects, distances, and angles; and have
no a priori target information for 3D coordinates or scale. The current algorithms used to estimate camera
orientations and perform 3D reconstruction rely to some degree on initial approximations of camera orientation
and/or 3D coordinates of the target object or control points. Parameter initialization in most surveillance applications
is problematic due to the non-regular camera arrangements and lack of target information. Using some of the
strengths of the orthogonal model, this paper presents a robust initial approximation method suited to the demands
of surveillance imagery.
You are reviewing the
Download.
Your machine is locate at 34.239.150.57.
