This article provides a comprehensive survey on pioneer and state-of-the-art 3D scene
geometry estimation methodologies based on single, two, or multiple images captured under …

Omnidirectional images and videos are widespread due to the popularization of devices for
capturing and visualization. Unlike pinhole-based imagery, omnidirectional media lie on the …

The main objective of this study was to enhance the performance of sleep stage classification
using single-channel electroencephalograms (EEGs), which are highly desirable for many …

Advances in materials engineering, electronic circuits, sensors, signal processing and
classification techniques have allowed computational systems to interpret biological quantities, …

Omnidirectional media are becoming widespread with the increasing popularization of
devices for capture and visualization. Unlike traditional pinhole-based images, omnidirectional …

This paper presents a methodology for image classification using Graph Neural Network (GNN)
models. We transform the input images into region adjacency graphs (RAGs), in which …

Pose estimation is a crucial problem in several computer vision and robotics applications.
For the two-view scenario, the typical pipeline consists of finding point correspondences …

View synthesis allows observers to explore static scenes using aligned color images and
depth maps captured in a preset camera path. Among the options, depth-image-based …

The principal component analysis (PCA) is widely used for data decorrelation and dimensionality
reduction. However, the use of PCA may be impractical in real-time applications, or in …

Programming is one of the most fundamental initial skills for engineering students. Institutions
that offer engineering courses have the challenge of deciding how to deliver this subject …