ADR Awareness Centre

In the past decade, artificial intelligence has made remarkable progress, achieving feats like self-driving cars, defeating go-masters, and precise image categorisation through supervised deep learning with labelled data.

The acquisition and self-improvement of novel motor skills is among the most important problems in robotics.

The aim of this lecture is to a) define Computational Politics as a discipline lying at the intersection of Political science and Computer science and b) present the use of AI and IT tools in political data analysis.

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.

Image-based 3D Shape Reconstruction, Stereo and multiview imaging principles will be overviewed. The following topics will be covered: Feature extraction and matching. Triangulation and Bundle Adjustment. Mathematics of structure from motion.

After a brief introduction to image acquisition and light reflection, the building blocks of modern cameras will be surveyed, along with geometric camera modelling.