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Introduction to Immersive Video Technologies

Authors: Alain, Martin; Zerman, Emin;

Introduction to Immersive Video Technologies

Abstract

Immersive imaging technologies have become a topic of great interest in recent years due to the convergence of maturing research from different fields and broad aspects of signal and image processing, including but not limited to: computer vision, computer graphics, computational imaging, optics, and recent advances in deep learning. In particular, recent research and developments in these areas helped achieve better or faster content creation and image/video processing. This enables the design of complete practical systems covering capture to display for immersive imaging. In this chapter, we provide the theoretical background for the rest of the book and introduce key concepts commonly used for traditional imaging systems and immersive video technologies. We also describe the stages of the immersive imaging technologies from content capture to display and quality assessment for three immersive imaging technologies: omnidirectional video, light fields, and volumetric (also known as free-viewpoint) video.1

Country
Ireland
Related Organizations
Keywords

Point cloud, Textured mesh, Omnidirectional video, Plenoptic function, Content delivery pipeline, Immersive imaging, Volumetric video, Light field, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green