Lossless Coding of Point Cloud Geometry using a Deep Generative Model

Nguyen DT, Quach M, Valenzise G, Duhamel P (2021)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2021

Journal

IEEE Transactions on Circuits and Systems For Video Technology Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 31

Pages Range: 4617-4629

Journal Issue: 12

URI: https://ieeexplore.ieee.org/abstract/document/9496667

DOI: 10.1109/TCSVT.2021.3100279

Abstract

This paper proposes a lossless point cloud (PC) geometry compression method that uses neural networks to estimate the probability distribution of voxel occupancy. First, to take into account the PC sparsity, our method adaptively partitions a point cloud into multiple voxel block sizes. This partitioning is signalled via an octree. Second, we employ a deep auto-regressive generative model to estimate the occupancy probability of each voxel given the previously encoded ones. We then employ the estimated probabilities to code efficiently a block using a context-based arithmetic coder. Our context has variable size and can expand beyond the current block to learn more accurate probabilities. We also consider using data augmentation techniques to increase the generalization capability of the learned probability models, in particular in the presence of noise and lower-density point clouds. Experimental evaluation, performed on a variety of point clouds from four different datasets and with diverse characteristics, demonstrates that our method reduces significantly (by up to 37%) the rate for lossless coding compared to the state-of-the-art MPEG codec.

Authors with CRIS profile

Dat Thanh Nguyen Lehrstuhl für Multimediakommunikation und Signalverarbeitung

Involved external institutions

CentraleSupélec

France (FR)

How to cite

APA:

Nguyen, D.T., Quach, M., Valenzise, G., & Duhamel, P. (2021). Lossless Coding of Point Cloud Geometry using a Deep Generative Model. IEEE Transactions on Circuits and Systems For Video Technology, 31(12), 4617-4629. https://dx.doi.org/10.1109/TCSVT.2021.3100279

MLA:

Nguyen, Dat Thanh, et al. "Lossless Coding of Point Cloud Geometry using a Deep Generative Model." IEEE Transactions on Circuits and Systems For Video Technology 31.12 (2021): 4617-4629.

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