Overview of color spaces. Segmentation based in color, textures, shapes and models. Extraction of descriptive and invariant characteristics. Examples in current problems. There will be a hands-on practice for this part, programming a small project.
Description and classification of objects.
Clustering. Image descriptors. Classical and probabilistic decision. Classification. Convolutional Neural Networks (CNN). There will be a hands-on practice for this part, programming a small project.
Aplications
Image classification.
Real-time video processing.
There will be a hands-on practice for this part, programming a small project.
