Data Augmentation by Using Object Shape Reconstruction
Achieving high performance face recognition often requires large manually labeled training datasets. As such datasets can be difficult to obtain, we investigate whether smaller datasets can be augmented synthetically in order to increase performance. We use 3D morphable models to create 3D reconstructions of faces from only a single image. The 3D reconstructions are used to render new face images