  Augmented Reality is an environment-enhancing technology, widely applied in
many domains, such as tourism and culture. One of the major challenges in this
field is precise detection and extraction of building information through
Computer Vision techniques. Edge detection is one of the building blocks
operations for many feature extraction solutions in Computer Vision. AR systems
use edge detection for building extraction or for extraction of facade details
from buildings. In this paper, we propose a novel filter operator for edge
detection that aims to extract building contours or facade features better. The
proposed filter gives more weight for finding vertical and horizontal edges
that is an important feature for our aim.
