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 …

In this paper, we address the following research problem: How can we generate a
meaningful split grammar that explains a given facade layout? To evaluate if a grammar is …

Local reflection symmetry detection in nature images is a quite important but challenging
task in computer vision. The main obstacle is both the scales and the orientations of …

We propose a novel regularity-driven framework for facade detection from aerial images of
urban scenes. Gini-index is used in our work to form an edge-based regularity metric …

We present a study and comparison of computer vision methods for the task of finding
repetitive motifs in ancient Peruvian pottery. Under this context, the main difficulties for …

Detecting repetitive structures on building facades plays an important role in facade image
analysis. Observing that repetitions are usually horizontally and vertically aligned, and …

The reconstruction of building models has been heavily researched in the field of
photogrammetry and computer vision. The two most used types of input data are lidar points …

The use of repetition detection is an effective approach for increasing the efficiency of urban
modeling. In practice, repetition detection can benefit from the apparent regularities and …

Algorithms for detection of repeating patterns in images often assume that the repetition is
regular and highly similar across the instances. Approximate repetitions are also of interest …

Repetition extraction plays an important role in facade image analysis. In this paper, this task
is handled within the graph cut based image segmentation framework. To model the …