Accurate segmentation of tubular, network-like structures, such as vessels, neurons, or
roads, is relevant to many fields of research. For such structures, the topology is their most …

This paper explores the effects of urban texture on building energy consumption. It is based
on the analysis of digital elevation models (DEMs)—raster models of cities which have …

This paper provides a review of shape analysis methods. Shape analysis methods play an
important role in systems for object recognition, matching, registration, and analysis …

Digital geometry is about deriving geometric information from digital pictures. The field
emerged from its mathematical roots some forty-years ago through work in computer-based …

We propose a data-driven approach to online multi-object tracking (MOT) that uses a
convolutional neural network (CNN) for data association in a tracking-by-detection …

In the development of digital multimedia, the importance and impact of image processing
and mathematical morphology are well documented in areas ranging from automated vision …

Existing automated road extraction approaches concentrate on regional accuracy rather
than road shape and connectivity quality. Most of these techniques produce discontinuous …

Sequential Monte Carlo probability hypothesis density (SMC-PHD) filtering is a popular
method used recently for audio-visual (AV) multi-speaker tracking. However, due to the …

A general algorithm for computing Euclidean skeletons of 2D and 3D data sets in linear time
is presented. These skeletons are defined in terms of a new concept, called the integer …

Additive manufacturing, or 3D printing, is the process of building three-dimensional solid
shapes by accumulating material laid out in sectional layers. Additive manufacturing has …