Computer Vision and Pattern Recognition

Learning Goals

The student, at the end of the course, should know the principles of computer vision and pattern recognition and the application of machine learning techniques to these topics. The student should be able to evaluate the adequacy of a computer vision system starting from requirements and considering technological constraints.

Program in pills

Image formation, Image processing, Feature detection, Fitting geometric primitives, Support vector machines, Recognition, Convolutional neural networks, Camera calibration, Stereopsis, Tracking (sketches)

Area

Machine Learning and Artificial Intelligence

Curriculum Foundations
TAF Type

C

Curriculum Industry
TAF Type

D

Curriculum Health
TAF Type

D

Curriculum Economy
TAF Type

D

SSD

ING-INF/04

ECTS

6

Semester

1

Lecturers

Felice Andrea Pellegrino