FAUST contains 300 real, high-resolution human scans of 10 different subjects in 30 different poses, with automatically computed ground-truth correspondences.
Each scan is a high-resolution, triangulated, non-watertight mesh acquired with a 3D multi-stereo system.
FAUST is subdivided into a training and a test set. The training set includes 100 scans (10 per subject) with their corresponding ground-truth alignments. The test set includes 200 scans. The
FAUST
benchmark defines 100 preselected scan pairs, partitioned into two classes - 60 requiring intra-subject matching, 40 requiring inter-subject matching.
People behind FAUST
Federica Bogo, Ph. D. Student, Max Planck Institute for Intelligent Systems and Università degli Studi di Padova
Javier Romero, Research Scientist, Max Planck Institute for Intelligent Systems
Matthew Loper, Ph. D. Student, Max Planck Institute for Intelligent Systems
Michael J. Black, Director, Max Planck Institute for Intelligent Systems
Jean-Claude Passy, Research Software Engineer, Max Planck Institute for Intelligent Systems
Oana Broscaru, Web Developer, Max Planck Institute for Intelligent Systems
Jon Anning, Ops Engineer, Max Planck Institute for Intelligent Systems