Transformada RAHT com Predição Inter-Quadros para Compressão de Nuvem de Pontos

André L Souto, Ricardo L de Queiroz

DOI: 10.14209/SBRT.2020.1570657479

Evento: XXXVIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2020)

Keywords:

Abstract

This work studies the use of region adaptive hierarchical transform (RAHT) with predictive approaches for attribute compression of dynamic point clouds. An intra-frame predictive RAHT, where the intra-frame prediction residuals are encoded instead of the voxel attributes themselves, was shown to deliver large gains over conventional RAHT. We extend the scheme to inter-frame prediction and show that an adaptive combination of zero-motion-vector (ZMV) inter-frame and intra-frame predictions may achieve large gains over convetional RAHT and intra-frame predictive RAHT when compressing attributes of dynamic point clouds. The use of the low computational cost ZMV technique suits as an alternative for high computational cost motion estimation algorithms for point clouds.

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