3D Face Reconstruction from a Single Shaded Image Using Subspace Crossing Engine

This paper presents a technique to reconstruct a 3D human face from a single shaded face image. The core idea of this work is to find a possible relationship between an image subspace and a 3D subspace. In this work, the subspaces are created by Principle Component Analysis to only capture the major factors for creating a face in each subspace. The subspaces are then adjusted to arrange them in a comparable range. By inputting a novel 2D shading face image, a subspace crossing engine developed for this work will estimate the major factors of the 2D shading face image creation and use them to compose a 3D shape automatically. The evaluation reveals that the researchers approach reconstructed 3D faces faster and closer to the 3D ground-truth faces than a traditional approach in a controlled environment.