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Course description
  3D VISION

Competencies and objectives

 

Course context for academic year 2018-19

Descripción
La visión 3D agrupa todas aquellas técnicas y metodologías que permiten adquirir y analizar entornos 3D así como reconocer objetos tridimensionales. El empleo de las técnicas de visión 3D abre nuevas posibilidades en el ámbito de la visión por computador. La visión 3D es aplicable a tareas tan diversas como identificar un objeto, localizar o determinar el movimiento de éste en un entorno, construir imágenes más realistas con percepción de volumen o de tipo panorámico, así como reconstruir escenas a partir de múltiples vistas de la misma.

 

 

Course content (verified by ANECA in official undergraduate and Master’s degrees)

UA Basic Transversal Competences

  • CGUA1 : Foreign language skills.
  • CGUA2 : Computer and information skills.

 

General Competences:>>Instrumental

  • CG1 : Advise on the choice, acquisition, and implementation of robotic and/or automated systems for different applications.
  • CG2 : Make decisions in the design and planning of a robotics and/or automation project, taking into account quality and environmental criteria.
  • CG5 : Understand current scientific articles on robotics and automation.
  • CG6 : Analyse, synthesise problems and make decisions.

 

General Competences:>>Interpersonal

  • CG10 : Critical reasoning.

 

General Competences:>>Systematic

  • CG12 : Capacity to apply the knowledge acquired to real situations.
  • CG13 : Capacity to work and learn autonomously.
  • CG14 : Capacity to adapt to new situations, promoting creativity and an entrepreneurial spirit.

 

Specific Competences:>>Vision

  • CEVI1 : Analyse and know how to apply tools and techniques that allow visual information to be gathered and processed and know which are the best for the particular field of application and context.
  • CEVI2 : Use specific computer and software tools for processing information obtained from visual sensors.
  • CEVI3 : Understand and master 3D reconstruction and measurement methods, as well as movement in a scene using digital images.
  • CEVI4 : Apply specific methods, techniques and instruments for the acquisition and formation of images.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2018-19

No data

 

 

General

Code: 37805
Lecturer responsible:
RAMON CARRETERO, JOSE LUIS
Credits ECTS: 3,00
Theoretical credits: 0,48
Practical credits: 0,72
Distance-base hours: 1,80

Departments involved

  • Dept: PHYSICS, ENGINEERING SYSTEMS AND SIGNAL THEORY
    Area: SYSTEMS ENGINEERING AND AUTOMATICS
    Theoretical credits: 0,48
    Practical credits: 0,72
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught