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Communication Dans Un Congrès Année : 2020

Colour compression of plenoptic point clouds using raht-klt with prior colour clustering and specular/diffuse component separation

Résumé

The recently introduced plenoptic point cloud representation marries a 3D point cloud with a light field. Instead of each point being associated with a single colour value, there can be multiple values to represent the colour at that point as perceived from different viewpoints. This representation was introduced together with a compression technique for the multi-view colour vectors, which is an extension of the RAHT method for point cloud attribute coding. In the current paper, we demonstrate that the best-proposed RAHT extension, RAHT-KLT, can be improved by performing a prior subdivision of the plenoptic point cloud into clusters based on similar colour values, followed by a separation of each cluster into specu-lar and diffuse components, and coding each component separately with RAHT-KLT. Our proposed improvements are shown to achieve better rate-distortion results than the original RAHT-KLT method.
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Dates et versions

hal-02479440 , version 1 (14-02-2020)

Identifiants

  • HAL Id : hal-02479440 , version 1

Citer

Maja Krivokuća, Christine Guillemot. Colour compression of plenoptic point clouds using raht-klt with prior colour clustering and specular/diffuse component separation. IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelone, Spain. ⟨hal-02479440⟩
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