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.
CITATION STYLE
Sucontphunt, T. (2014). 3D face reconstruction from a single shaded image using subspace crossing engine. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8827, pp. 794–801). Springer Verlag. https://doi.org/10.1007/978-3-319-12568-8_96
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