Emerging MPEG Standards for Point Cloud Compression
By S. Schwarz, M. Preda, V. Baroncini, M. Budagavi, Pablo César, P. Chou, R. Cohen, Maja Krivokuća, S. Lasserre, Zhu Li and 8 more. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2019
737 citations recorded by the source corpus.
Due to the increased popularity of augmented and virtual reality experiences, the interest in capturing the real world in multiple dimensions and in presenting it to users in an immersible fashion has never been higher. Distributing such representations enables users to freely navigate in multi-sensory 3D media experiences. Unfortunately, such representations require a large amount of data, not feasible for transmission on today’s networks. Efficient compression technologies well adopted in the content chain are in high demand and are key components to democratize augmented and virtual reality applications. Moving Picture Experts Group, as one of the main standardization groups dealing with multimedia, identified the trend and started recently the process of building an open standard for compactly representing 3D point clouds, which are the 3D equivalent of the very well-known 2D pixels. This paper introduces the main developments and technical aspects of this ongoing standardization effort.
Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/546bb35975f72b76c855213be436e55633a9ad5a
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In Computational Mechanics
In Computer Graphics and Computer-Aided Design
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Citations in the corpus
- LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS (2023, methodology): “Drawing inspiration from the Point Cloud Compression literature [52], which applies lossless encoding on the Gaussian location, utilizing the octree geometry codec in G-PCC [44] consumes only a very small amount of bits.”