This paper provides a comprehensive overview of urban reconstruction. While there exists a
considerable body of literature, this topic is still under active research. The work reviewed in …

We propose a new approach for semantic segmentation of 3D city models. Starting from an
SfM reconstruction of a street-side scene, we perform classification and facade splitting …

The creation of high-quality semantically parsed 3D models for dense metropolitan areas is
a fundamental urban modeling problem. Although recent advances in acquisition …

This paper presents a general knowledge model for propagating information in a content-
based publish-subscribe system. The model is used to derive an efficient and scalable …

In this paper we propose a novel approach to localization in very large indoor spaces (ie,
200+ store shopping malls) that takes a single image and a floor plan of the environment as …

The semantic segmentation of building facades is critical for various construction
applications, such as urban building reconstruction and damage assessments. As there is a …

We propose a novel approach for semantic segmentation of building facades. Our system
consists of three distinct layers, representing different levels of abstraction in facade images …

Parsing facade images requires optimal handcrafted grammar for a given class of buildings.
Such a handcrafted grammar is often designed manually by experts. In this paper, we …

Urban facade segmentation from automatically acquired imagery, in contrast to traditional
image segmentation, poses several unique challenges. 360-degree photospheres captured …

There is an increased interest in the efficient creation of city models, be it virtual or as-built.
We present a method for synthesizing complex, photo-realistic facade images, from a single …