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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2024/2025

Image Processing and Pattern Recognition 2

The course is not on the list Without time-table
Code Completion Credits Range Language
01ROZP2 ZK 4 2+1 Czech
Vztahy:
It is not possible to register for the course 01ROZP2 if the student is concurrently registered for or has already completed the course 01SU1 (mutually exclusive courses).
It is not possible to register for the course 01ROZP2 if the student is concurrently registered for or has already completed the course 01ROZRF2 (mutually exclusive courses).
It is not possible to register for the course 01ROZP2 if the student is concurrently registered for or has previously completed the course 01SU1 (mutually exclusive courses).
Garant předmětu:
Lecturer:
Tutor:
Supervisor:
Department of Mathematics
Synopsis:

The course is a continuation of ROZ1. Major attention is paid to features for shape description and recognition, and to general pattern recognition techniques. Numerous applications and experimental results are presented in addition to the theory.

Requirements:

passing of ROZ1

Syllabus of lectures:

features for description and recognition of 2-D shapes

invariant features, Fourier descriptors, moment invariants, differential invariants

statistical pattern recognition, supervised and nonsupervised classification, NN- classifier, linear classifier, Bayessian classifier

clustering in a feature space, iterative and hierarchical methods

dimensionality reduction of a feature space

Syllabus of tutorials:

simple 2D visual features

Fourier descriptors

basic classification algorithms

cluster analysis - simple examples

Study Objective:

to teach students the basics of object recognition

Study materials:

Duda R.O. et al., Pattern Classification, (2nd ed.), John Wiley, New York, 2001

Media and tools: a complete set of lecture slides and excersises are available at http://zoi.utia.cas.cz/ROZ2

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2024-05-28
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