- Docente: Davide Maltoni
- Credits: 6
- SSD: ING-INF/05
- Language: Italian
- Moduli: Davide Maltoni (Modulo 1) Annalisa Franco (Modulo 2)
- Teaching Mode: In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2)
- Campus: Cesena
- Corso: Second cycle degree programme (LM) in Computer Science and Engineering (cod. 8614)
Learning outcomes
This course introduces algorithms and techniques for the design of pattern recognition and computer vision applications.
Course contents
Supervised Classification
Parametric and Non-parametric classifiers
Multi-Classifiers
Unsupervised classification
Clustering
Dimensionality reduction
Neural Networks for pattern recognition
Feature extraction
Local descriptors (e.g. SIFT) and Dictionaries
Object localization
Readings/Bibliography
Gonzalez and Woods, Digital image processing, Prentice Hall, 3rd edition, 2007.
Duda, Hart and Stork, Pattern classification, Wiley 2002.
Teaching methods
Lectures
Laboratory
Assessment methods
Oral exam
Development of a project (Homework)
Teaching tools
Teacher's slides
C# classes to speed-up the preparation of the assigned project
Links to further information
http://bias.csr.unibo.it/maltoni/vr/
Office hours
See the website of Davide Maltoni
See the website of Annalisa Franco