Abstract

We present Large Scale Facial Model (LSFM) — a 3DMorphable Model (3DMM) automatically constructed from9,663 distinct facial identities. To the best of our knowl-edge LSFM is the largest-scale Morphable Model ever con-structed, containing statistical information from a huge va-riety of the human population. To build such a large modelwe introduce a novel fully automated and robust MorphableModel construction pipeline. The dataset that LSFM istrained on includes rich demographic information abouteach subject, allowing for the construction of not only aglobal 3DMM but also models tailored for specific age,gender or ethnicity groups. As an application example,we utilise the proposed model to perform age classifica-tion from 3D shape alone. Furthermore, we perform a systematic analysis of the constructed 3DMMs that showcases their quality and descriptive power. The presented extensive qualitative and quantitative evaluations reveal that the pro-posed 3DMM achieves state-of-the-art results, outperform-ing existing models by a large margin. Finally, for the benefit of the research community, we make publicly available the source code of the proposed automatic 3DMM construction pipeline. In addition, the constructed global 3DMM and a variety of bespoke models tailored by age, gender and ethnicity are available on application to researchers involved in medically oriented research.