Do et al., 2024 - Google Patents

Volumetric 3D point cloud attribute compression: Learned polynomial bilateral filter for prediction

Do et al., 2024

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Document ID
4818391134238258340
Author
Do T
Chou P
Cheung G
Publication year
Publication venue
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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We extend a previous study on 3D point cloud attribute compression scheme that uses a volumetric approach: given a target volumetric attribute function f: ℝ 3↦ ℝ, we quantize and encode parameters θ that characterize f at the encoder, for reconstruction f_̂θ(x) at known …
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    • H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
    • H04N19/124—Quantisation
    • H04N19/126—Details of normalisation or weighting functions, e.g. normalisation matrices or variable uniform quantisers
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