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Računalniški vid – Laboratorij za strojno inteligenco

Računalniški vid

Študij:  Elektrotehnika, UN 2 stopnja
Smer: Avtomatika in informatika
Letnik: 1. letnik
Semester: zimski
Kreditne točke: 6 točk

Predavatelj: doc.dr. Janez Perš
Asistent: as. Marija Ivanovska

Opis predmeta

Spoznavanje osnovnih načel in tehnologij vidnega zaznavanja v inteligentnih sistemih avtomatike in robotike.

Vsebina

  • Uvod v računalniški vid. Področja uporabe in smeri razvoja.
    Osnove vidnega zaznavanja, nastanek slike, vidno zaznavanje pri ljudeh.
  • Modeliranje in kalibracija sistemov za vidno zaznavanje.
  • Stereo vid. Stereo vid pri ljudeh. Modeliranje stereo sistemov. Epipolarna geometrija. Kalibracija stereo sistemov. Kalibracija “oko-roka”.
  • Tehnike osvetlitve, strukturirana svetloba.
  • Pojavnost barv, predstavitev barv – barvni prostori.
  • Osnovno o predobdelavi, izboljšanju in obnavljanju slik.
  • Osnove analize slik, analiza robov, oglišč, področij, oblik.
  • Analiza zaporedij slik in videa, optični tok, polje gibanja.
  • Izbrani primeri uporabe na področjih avtomatike in robotike.
  • Spoznavanje osnovnih načel in tehnologij vidnega zaznavanja v inteligentnih sistemih avtomatike in robotike.

Literatura

  • D. Forsyth, J. Ponce, Compuer vision, a modern approach, Prentice Hall, 2003.
  • E. Trucco, A. Verri, Introductory techniques for 3-D computer vision, Prentice Hall, 1998.
  • M. Sonka, V. Hlavac, R. Boyle, Image processing, analysis and machine vision, Chapman and Hall Computing series, 1993.