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Single View 3D Face Reconstruction
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Author(s): Claudio Ferrari (University of Florence, Italy), Stefano Berretti (University of Florence, Italy)and Alberto del Bimbo (University of Florence, Italy)
Copyright: 2020
Pages: 13
Source title:
Recent Advances in 3D Imaging, Modeling, and Reconstruction
Source Author(s)/Editor(s): Athanasios Voulodimos (University of West Attica, Athens, Greece)and Anastasios Doulamis (National Technical University of Athens, Athens, Greece)
DOI: 10.4018/978-1-5225-5294-9.ch010
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Abstract
3D face reconstruction from a single 2D image is a fundamental computer vision problem of extraordinary difficulty that dates back to the 1980s. Briefly, it is the task of recovering the three-dimensional geometry of a human face from a single RGB image. While the problem of automatically estimating the 3D structure of a generic scene from RGB images can be regarded as a general task, the particular morphology and non-rigid nature of human faces make it a challenging problem for which dedicated approaches are still currently studied. This chapter aims at providing an overview of the problem, its evolutions, the current state of the art, and future trends.
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