- Docente: Davide Maltoni
- Credits: 6
- SSD: ING-INF/05
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Cesena
- Corso: Second cycle degree programme (LS) in Computer Science (cod. 0246)
Learning outcomes
This course introduces advanced techniques for the design of pattern recognition and computer vision applications.
Course contents
- Parametric classifiers
- Non-parametric classifiers
- Multi-Classifiers
- Unsupervised classification: clustering
- Advanced techniques for object detection
- Advanced techniques for feature extraction
Readings/Bibliography
- Gonzalez and Woods, Digital image processing, Prentice Hall, 1992.
- 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/va2/
Office hours
See the website of Davide Maltoni