ADR Awareness Centre

AI is a rapidly emerging field that has opened up new vistas of innovation and creativity. From intelligent systems to self-driving cars, AI has transformed the way we live and work.

This lecture overviews Edge Detection that has many applications in image analysis, notably shape description and object recognition. It covers the following topics in detail: Edge detection using numerical differentiation or image statistics.

This lecture overviews Special topics in Object Detection that has many applications in embedded computing and drone vision.

This lecture overviews Image Perception. This is very important to understand image quality issues and develop many appropriate image processing operations.

This lecture overviews Autonomous Underwater Vessel Perception that has many applications in Autonomous Underwater Vessel missions.

The talk discusses the long-standing vision of creating autonomous robots capable of assisting humans in daily life. A crucial step toward this goal is enabling robots to learn tasks based on environmental cues or higher-level instructions.

The conference paper provides a brief introduction into manifolds from a computer vision perspective. Important manifolds for this research field, like symmetric positive definite matrices and affine transformation matrices, are presented.

This lecture overviews 3D Video Coding and Broadcasting that has many applications in 3D cinema, 3D TV and 3D video content streaming. It covers the following topics in detail: 3D Video Processing Chain. Video Coding Standards.

This lecture overviews Mathematical Morphology  that has many applications in digital image processing, analysis and computer vision.

Since the formulation of states, political authorities and political parties have sought to gauge public opinion. In recent years, opinion polls have been able to gratify this need rather efficiently.

The Aristotle University of Thessaloniki (hereinafter, AUTH) created the dataset ‘3D-Flood’, within the context of the project TEMA that was funded by the European Commission-European Union [Grant Agreement number: 101093003; st

Real-World Data Science Projects involve the practical application of data science methodologies to solve real-world problems.