Search Results for author: Philip A. Chou

Found 6 papers, 1 papers with code

3D Scene Compression through Entropy Penalized Neural Representation Functions

no code implementations26 Apr 2021 Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou

We unify these steps by directly compressing an implicit representation of the scene, a function that maps spatial coordinates to a radiance vector field, which can then be queried to render arbitrary viewpoints.

Spectral folding and two-channel filter-banks on arbitrary graphs

no code implementations23 Oct 2020 Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou

A major limitation is that this framework can only be applied to the normalized Laplacian of bipartite graphs.

Region adaptive graph fourier transform for 3d point clouds

1 code implementation4 Mar 2020 Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou

Since clusters may have a different numbers of points, each block transform must incorporate the relative importance of each coefficient.

Graph-based compression of dynamic 3D point cloud sequences

no code implementations19 Jun 2015 Dorina Thanou, Philip A. Chou, Pascal Frossard

This paper addresses the problem of compression of 3D point cloud sequences that are characterized by moving 3D positions and color attributes.

Motion Estimation

Precision Enhancement of 3D Surfaces from Multiple Compressed Depth Maps

no code implementations25 Feb 2014 Pengfei Wan, Gene Cheung, Philip A. Chou, Dinei Florencio, Cha Zhang, Oscar C. Au

In texture-plus-depth representation of a 3D scene, depth maps from different camera viewpoints are typically lossily compressed via the classical transform coding / coefficient quantization paradigm.

Quantization

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