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Délia Boino
Submitted by dboino on 9 March 2021
Intended learning outcomes

Mixed reality (MR) involves merging or the interaction of virtual elements with information or elements acquired from the real world. In particular, MR involves the alignment of virtual objects with the real world and vice versa, both from the point of view of geometric perspective and from the point of view of illumination. Thus, MR can be seen as an interaction paradigm that combines the areas of computer vision and virtual reality (VR).

Students who successfully complete this course unit are able to:

  1. Know concepts of computational vision for extracting information from images.
  2. Know the methods for determining depth images.
  3. Know the calibration of a camera stereo.
  4. Know a camera pose detection based on a standard object.
  5. Understand the concepts of Virtual Reality (VR), Augmented Reality (AR), Augmented Virtuality (VA) and Mixed Reality (MR).
  6. Know examples and applications that involve the concepts of RV, RA, VA and RM.
  7. Developing augmented reality examples based on a pattern object or RGB-D images.

 

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