Video-Based Point-Cloud-Compression Standard in MPEG: From Evidence Collection to Committee Draft [Standards in a Nutshell]

Euee S. Jang; Marius Preda; Khaled Mammou; Alexis M. Tourapis; Jungsun Kim; Danillo B. Graziosi; Sungryeul Rhyu; Madhukar Budagavi

doi:10.1109/MSP.2019.2900721

Video-Based Point-Cloud-Compression Standard in MPEG: From Evidence Collection to Committee Draft [Standards in a Nutshell]

Euee S. Jang
, Marius Preda
, Khaled Mammou
, Alexis M. Tourapis
, Jungsun Kim
, Danillo B. Graziosi
, Sungryeul Rhyu
, Madhukar Budagavi

Hanyang University
Institut Mines-Télécom
Apple Computer
Sony Corporation
Samsung Research
Samsung Research and Development Institute of America

Research output: Contribution to journal › Article › peer-review

Abstract

The widespread adoption of new 3D sensor and authoring technologies has made it possible to capture 3D scenes and models in real time with decent visual quality. As an example, Microsoft's Kinect and Apple's PrimeSense technology are now being used in a wide variety of interactive 3D mobile applications, including gaming and augmented reality applications. The latest smartphones are equipped with multiple cameras, which can be readily used to generate depth images. Some of the latest smartphones also include depth-ranging sensors that can be used for 3D model generation. Light-based detection and ranging (lidar) technologies are yet another field where 3D depth acquisition is important. Realtime 3D scenery detection and ranging has become an important issue for the emerging field of autonomous navigation and driving applications.

Original language	English
Article number	8700674
Pages (from-to)	118-123
Number of pages	6
Journal	IEEE Signal Processing Magazine
Volume	36
Issue number	3
DOIs	https://doi.org/10.1109/MSP.2019.2900721
Publication status	Published - 1 May 2019
Externally published	Yes

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Cite this

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title = "Video-Based Point-Cloud-Compression Standard in MPEG: From Evidence Collection to Committee Draft [Standards in a Nutshell]",

abstract = "The widespread adoption of new 3D sensor and authoring technologies has made it possible to capture 3D scenes and models in real time with decent visual quality. As an example, Microsoft's Kinect and Apple's PrimeSense technology are now being used in a wide variety of interactive 3D mobile applications, including gaming and augmented reality applications. The latest smartphones are equipped with multiple cameras, which can be readily used to generate depth images. Some of the latest smartphones also include depth-ranging sensors that can be used for 3D model generation. Light-based detection and ranging (lidar) technologies are yet another field where 3D depth acquisition is important. Realtime 3D scenery detection and ranging has become an important issue for the emerging field of autonomous navigation and driving applications.",

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Video-Based Point-Cloud-Compression Standard in MPEG: From Evidence Collection to Committee Draft [Standards in a Nutshell]

Abstract

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