Geometry-independent realistic noise models for synthetic data generation

C.E. Birnie, Matteo Ravasi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fingerprint

Dive into the research topics of 'Geometry-independent realistic noise models for synthetic data generation'. Together they form a unique fingerprint.

Computer Science

Engineering

Earth and Planetary Sciences

Keyphrases

Material Science