Image analysis and computer vision are powerful techniques that are successfully used in
different domains, but have hardly found their way into the real estate sector. However, real …

Building recognition in urban environments aims to identify different buildings in a large-
scale image dataset. This identification facilitates the annotation of any visual object to a …

Building facade classification by architectural styles allows categorization of large databases
of building images into semantic categories belonging to certain historic periods, regions …

A system may determine a number of floors of a building based on image data of the
building. The system may determine a background color of a façade of the building shown in …

We proposed a new method of gist feature extraction for building recognition and named the
feature extracted by this method as the histogram of oriented gradient based gist (HOG‐gist) …

Image based localization is an important problem with many applications. The basic idea is
to match a user generated query image against a database of geo-tagged images with …

Building recognition is an important task for a wide range of computer vision applications,
eg, surveillance and intelligent navigation aid. However, it is also challenging since each …

Precisely estimating the pose of an agent in a global reference frame is a crucial goal that
unlocks a multitude of robotic applications, including autonomous navigation and …

In this paper we present a new approach to rank and select keypoints based on their
saliency for object detection and matching under moderate viewpoint and lighting changes …

In this paper we address the problem of automatic laser scan registration in urban
environments. This represents a challenging problem for two major reasons. First, two …