15355 - Computer Vision I

Academic Year 2008/2009

  • Teaching Mode: Traditional lectures
  • Campus: Cesena
  • Corso: First cycle degree programme (L) in Computer Science (cod. 0101)

Learning outcomes

Basic tools and techniques for designing and developing automated pattern recognition systems.

Course contents

  • Pattern recognition and its applications: an introduction
  • Digital images
  • Feature extraction
  • Template matching and correlation
  • Classification

Readings/Bibliography

  • R. C. Gonzalez e R. E. Woods, Digital image processing, Prentice Hall, 1992.
  • Pattern classification, Duda, Hart & Stork, Wiley 2002.

Teaching methods

  • Lecures
  • Guided exercises at the PC

 

Assessment methods

Final assignment and exam

Teaching tools

  • Lecture notes
  • C# classes to be used in the assignment

Links to further information

http://bias.csr.unibo.it/VA1

Office hours

See the website of Raffaele Cappelli