Constrained symmetry for change detection

The automation of imagery analysis processes leads to the need to detect ch ange between pairs of aerial reconnaissance images. Approximate camera mode ls are available for these images, accurate up to a translation, and these are augmented with further constraints relating to the task of monitoring v ehicles. Horizontal, bilateral, Euclidean symmetry is used as a generic obj ect model by which segmented curves are grouped, first in a 2-d approximati on, and then in 3-d, resulting in a sparse 3-d Euclidean reconstruction of a symmetric object from a single view. The method is applied to sample imag es of parked aircraft.