Modern Technologies and Concepts for Education I – 3D Video, Virtual and Augmented Reality
Gregor Rozinaj; Marek Vančo; Ivan Minárik; Šimon Tibenský
Annotation

This module deals with a topic of 3D modelling and its use for virtual and augmented realities. The material introduces modelling of 3D objects, capturing 3D objects and visualization of 3D objects. Basic principles of virtual and augmented realities are discussed, as well. Specific camera systems for capturing 3D objects and 3D scenes are analysed, too. Special complex systems and applications for experience-based videoconferencing based on virtual teleport are presented at the end of this document.

Objectives

Through the study of the module, students will gain an overview in 3D modelling and topics related to 3D modelling. Student will learn the entire process of 3D modelling from capturing, modelling and visualisation of 3D objects and scenes.

The student should understand the main direction and trends of virtual teleport-based videoconferencing.

Keywords
3D modelling, capturing of 3D objects, visualization of 3D objects, virtual teleport
Date of Creation
20.12.2021
Duration
120 hours
Language
English
License
Licence Creative Commons BY-SA 4.0
ISBN
Literature
  1. HENDRIYANI, Yeka; AMRIZAL, Vania Amanda. The Comparison Between 3D Studio Max and Blender Based on Software Qualities. In: Journal of Physics: Conference Series. IOP Publishing, 2019. p. 012030.
  1. LI, Yanjie. Analysis of digital sculpture language in the application of ZBrush. In: International Conference on Image Processing and Intelligent Control (IPIC 2021). SPIE, 2021. p. 258-261.
  1. POORVADEVI, R.; CHANDU PRATHAP, Kondapalli; YESWANTH SAI, Gaddagunta. An Effective Mechanism for Temple Sculpture Digital Preservation using AR. In: 2021 4th International Conference on Computing and Communications Technologies (ICCCT). IEEE, 2021. p. 325-329.
  1. MINÁRIK, Ivan; VANČO, Marek; ROZINAJ, Gregor. Advanced Scene Sensing for Virtual Teleconference. In: International Conference on Systems, Signals and Image Processing. Springer, Cham, 2021. p. 198-209.
  1. BURATTO, Enrico, et al. Deep learning for transient image reconstruction from ToF data. Sensors, 2021, 21.6: 1962.
  1. GUO, Jiazhen, et al. Real-time Object Detection with Deep Learning for Robot Vision on Mixed Reality Device. In: 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech). IEEE, 2021. p. 82-83.
  1. LUNGU, Abel J., et al. A review on the applications of virtual reality, augmented reality and mixed reality in surgical simulation: an extension to different kinds of surgery. Expert review of medical devices, 2021, 18.1: 47-62.