Single Image 3D Beard Face Reconstruction Approaches

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Author(s): Hafiz Muhammad Umair Munir (Department of Mechanical Engineering, Tokai University, Japan)and Waqar Shahid Qureshi (Department of Mechatronics Engineering, National University of Sciences and Technology, Pakistan)
Copyright: 2022
Volume: 4
Issue: 1
Pages: 17
Source title: International Journal of Cyber-Physical Systems (IJCPS)
Editor(s)-in-Chief: Amjad Gawanmeh (University of Dubai, United Arab Emirates)
DOI: 10.4018/IJCPS.314572

Keywords: Cybernetics / Information Science Reference / Media & Communications / Network Architecture

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Abstract

3D face and 3D hair reconstruction are interesting and emerging applications within the fields of computer vision, computer graphics, and cyber-physical systems. It is a difficult and challenging task to reconstruct the 3D facial model and 3D facial hair from a single photo due to arbitrary poses, facial beard, non-uniform illumination, expressions, and occlusions. Detailed 3D facial models are difficult to reconstruct because every algorithm has some limitations related to profile view, beard face, fine detail, accuracy, and robustness. The major problem is to develop 3D face with texture of large, beard, and wild poses. Mostly algorithms use convolution neural networks and deep learning frameworks to develop 3D face and 3D hair. The latest and state-of-the-art 3D facial reconstruction and 3D face hair approaches are described. Different issues, problems regarding 3D facial reconstruction, and their proposed solutions have been discussed.

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Single Image 3D Beard Face Reconstruction Approaches

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