Department of Computer Science & Engineering

University of Ioannina

Computer Vision

Course Feature
Class Description

Course ID: Δ5

Unit: DATA SCIENCE AND ENGINEERING – Unit D: Data Analysis and Processing

Weekly Hours: 4


ECTS Credits: 7

Course Homepage:

Description:• Linear filtering • Edge detection • Frequency representation, image pyramids, template matching • Local features: corners • Local features: scale and interest point descriptors • Machine learning for computer vision • Segmentation by clustering: mean shift • Segmentation by clustering: normalized cut • Segmentation by fitting a model: Hough transform and least squares fitting • Segmentation by fitting a model: robust estimators and RANSAC • Registration • PCA and eigenfaces • Face detection • Fitting probability models • Learning and inference in computer vision • The pinhole camera • Singular value decomposition • Models for transformations • Multiple cameras • More features (LBP, shape context, dual PCA) • Models for grids (grpah cut) • Regression • Classification

  • Christophoros Nikou

    • Ph.D. in Image Processing and Computer Vision, Universite Louis Pasteur - Strasbourg I, France 1999
    • DEA in Photonics and Image Processing, Universite Louis Pasteur - Strasbourg I, France 1995
    • Diploma, Electrical Engineering Department, Aristotle University of Thessaloniki, Greece, 1994