Stereo Pair Matching of Archaeological Scenes using Phase Domain Methods

Abstract

This paper conducts an experimental study on the application of some recent theories of image preprocessing and analysis in the frequency domain, particularly the phase congruency and monogenic filtering methods. Our goal was to examine the performance of such methods in a stereo matching problem setting, with photos of complicated scenes. Two objects were used: a scene of an ancient Greek temple of Acropolis and the outside scene of the gate of an ancient theatre. Due to the complex structure of the photographed object, classic techniques used for feature detection and matching give poor results. The phase-domain approach followed in this paper is based on the phase-congruency method for feature extraction, together with monogenic filtering and a new correlation measure in the frequency domain for image correspondence and stereo matching. Comparative results show that the three-dimensional models of the scene computed when applying these phase domain methods are much more detailed and consistent as compared to the models obtained when using classic approaches or the SIFT based techniques, which give poor depth representation and less accurate metric