The aim of this article is to investigate methods for
the automatic extraction of the infrared (IR) textures
for the roofs and facades of existing building models.
We focus on the correction of the measured exterior
orientation parameters of the IR camera mounted on
a mobile platform. The developed method is based on
point-to-point matching of the features extracted from
IR images with a wire-frame building model. Firstly,
the extraction of different feature types is studied on
a sample IR image; Förstner and intersection points
are chosen for a representation of the image features.
Secondly, the three-dimensional (3D) building model
is projected into each frame of the IR video sequence
using orientation parameters; only coarse exterior
orientation parameters are known. Then the automatic
co-registration of a 3D building model projection into
the image sequence with image features is carried out.
The matching of a model and extracted features is
applied iteratively, and exterior orientation parameters
are adjusted with least square adjustment. The method
is tested on a dataset of a dense urban area. Finally,
an evaluation of the developed method is presented
with five quality parameters, i.e. efficiency of the
method, completeness and correctness of matching