Historically, change detection reviews have examined and categorized algorithms based on
their techniques for the remote sensing community. Here, we synthesize urban land change …

Due to the unprecedented technology development of sensors, platforms and algorithms for
3D data acquisition and generation, 3D spaceborne, airborne and close-range data, in the …

Autonomous crop monitoring at high spatial and temporal resolution is a critical problem in
precision agriculture. While Structure from Motion and Multi-View Stereo algorithms can …

Change captioning aims to describe the semantic change between two similar images. In
this process, as the most typical distractor, viewpoint change leads to the pseudo changes …

Registration is a ubiquitous operation in Visual Computing, with applications in 3D object
retrieval among others. Registration is the process of overlaying two or more datasets taken …

Analysing 88 sources published from 2011 to 2021, this article presents a first systematic
review of the computer vision-based analysis of buildings and the built environment. Its aim …

In recent years, multiview subspace learning has been garnering increasing attention. It
aims to capture the inner relationships of the data that are collected from multiple sources by …

This paper presents a family of algorithms based on sparse decompositions that detect
anomalies in video sequences obtained from slow moving cameras. These algorithms start …

This paper presents a real-time object-based 3D change detection method that is built
around the concept of semantic object maps. The algorithm is able to maintain an object …

This paper proposes a novel panoramic texture mapping-based rendering system for real-
time, photorealistic reproduction of large-scale urban scenes at a street level. Various image …