Abstract:
This paper handles a robust method to handle
matching problem of the 3D building from remote
sensed images, where two or more images are captured
from the different views without any camera
information. The system is based on the SIFT interest
point detector on foreground object. The system
provides a method for extracting distinctive invariant
features from images that can be used to perform
reliable matching between different view of an object
or scene. The features are invariant to image scaling,
translation, and rotation, and partially invariant to
illumination changes and affine or 3D projection. The
system also describes the outlier removal and the
homography matrix computation approach between
two planes using corresponding points based on the
RANSAC method. The proposed method gives a
sufficient number of matches distributed on the image
and is particularly suitable for 3D reconstruction from
feature correspondence.
