Visió Artificial Avançada

Crèdits
4.5
Tipus
Optativa
Requisits
Aquesta assignatura no té requisits , però té capacitats prèvies
Departament
CS;URV
Web
http://moodle.urv.cat/
This course aims at studying the fundamental techniques for image processing and advanced issues on machine vision related to the problems of automatic analysis and recognition of complex images. Practical applications will be developed on well-known machine vision software.

Hores setmanals

Teoria
1.5
Problemes
0
Laboratori
1
Aprenentatge dirigit
0
Aprenentatge autònom
5

Objectius

  1. To learn and practise the main algorithms and methods for image feature extaction.
    Competències relacionades: CEA6, CEA14,
  2. To learn and understand the main concepts of image processing.
    Competències relacionades: CEA6,
  3. To learn and practise the principal color and texture analysis methods.
    Competències relacionades: CEA14, CEP5, CB7,
  4. To learn and practise the main image segmetation and classification techniques.
    Competències relacionades: CEA14, CEP1, CEP5, CB7,
  5. To know some basics about stereoscopic vision and 3D models.
    Competències relacionades: CEA14, CEP1, CEP5,
  6. To be able to analyze a real computer vision problem, and propose effective solutions.
    Competències relacionades: CEP1, CEP5, CEP6, CT5, CB7,

Continguts

  1. Tema 1.- Processament d'imatges.
    Filtering and smoothing operations. Morphological techniques.
  2. Tema 2.- Extracció de característiques geomètriques.
    Lines and corners detection. Identification of basic geometrical structures.
  3. Tema 3.- Anàlisi de color i textura.
    Color models, kinds of texture, texture feature extraction, geometrical methods.
  4. Tema 4.- Segmentació i classificació d'imatges.
    Unsupervised segmentation based on regions and edges. Supervised classification, theoretical decision methods, statistical methods, neural networks.
  5. Tema 5.- Visió estereoscòpica.
    Camera calibration and camera systems, epipolar geometry, image rectification, search for correspondences, triangulation.
  6. Tema 6.- Percepció i modelatge tridimensional.
    Range images generation, extraction of geometric elements, automatic scene generation, scene recognition, geometrical hashing.