Distance Field Compression

By Mark W. Jones. 2004

20 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Andrew J. Davison
2. Peter R. Florence
3. Richard A. Newcombe
4. J. Park
5. Julian Straub
6. Steven J. Lovegrove
7. Daniel Ricao Canelhas
8. Erik Schaffernicht

Citations in the corpus

• DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation (2019, methodology): “Wavelet transform-based methods [27] and dimensionality reduction techniques [27] for distance fields were reported, but they encode the SDF volume of each individual scene rather than a dataset of shapes.”
• 3D distance fields: a survey of techniques and applications (2006, background): “Jones [61] gives a study into compressing distance fields.”
• Compressed Voxel-Based Mapping Using Unsupervised Learning (2016, background): “Among these, we find video and volumetric image compression ([21,22]), including work dealing with distance fields specifically [23].”