Computer vision in the structural health monitoring (SHM) field has become popular,
especially for processing unmanned aerial vehicle (UAV) data, but still has limitations both …

Illegal migration as well as wildfires constitute commonplace situations in southern
European countries, where the mountainous terrain and thick forests make the surveillance …

This paper presents the first performance evaluation of interest points on scalar volumetric
data. Such data encodes 3D shape, a fundamental property of objects. The use of another …

In fetal‐brain MRI, head‐pose changes between prescription and acquisition present a
challenge to obtaining the standard sagittal, coronal and axial views essential to clinical …

A problem of computer vision applications is to detect regions of interest under different
imaging conditions. The state-of-the-art maximally stable extremal regions (MSERs) detects …

MSER features are redefined to improve their performances in matching and retrieval tasks.
The proposed SIMSER features (ie scale-insensitive MSERs) are the extremal regions …

Benchmarks provide a way to quantify progress in a field. Our goal is to produce a suite of
benchmarks covering the four categories of autonomic capabilities: self-configuring, self …

This paper presents a novel implementation of the Maximally Stable Extremal Regions
(MSER) detector on system-on-chip (SoC) using 65 nm CMOS technology. The novel SoC …

This article presents the use of the combination of the object detection method and feature
detector in an infrared video on traffic infrastructure and in tunnels. The theme of the paper is …

A novel approach is presented for synthetic aperture radar (SAR) image segmentation. By
incorporating the advantages of maximally stable extremal regions (MSER) algorithm and …