Object detection can be regarded as one of the most fundamental and challenging visual
recognition task in computer vision and it has received great attention over the past few …

The area of surface reconstruction has seen substantial progress in the past two decades.
The traditional problem addressed by surface reconstruction is to recover the digital …

Object detection is one of the most important and challenging branches of computer vision,
which has been widely applied in people's life, such as monitoring security, autonomous …

The Hausdorff distance (HD) between two point sets is a commonly used dissimilarity
measure for comparing point sets and image segmentations. Especially when very large …

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 …

Repeated structures such as building facades, fences or road markings often represent a
significant challenge for place recognition. Repeated structures are notoriously hard for …

We present a new technique for extracting local features from images of architectural
scenes, based on detecting and representing local symmetries. These new features are …

Urban building energy and daylight modeling are bottom-up, physics-based approaches to
simulate the thermal and daylight performance of neighborhoods and cities. The field has …

We present a complete system to semantically decompose and reconstruct 3D models from
point clouds. Different than previous urban modeling approaches, our system is designed for …

Creating a virtual city is demanded for computer games, movies, and urban planning, but it
takes a lot of time to create numerous 3D building models. Procedural modeling has …