Single View 3D Face Reconstruction

Author(s):  
Claudio Ferrari ◽  
Stefano Berretti ◽  
Alberto del Bimbo

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.

Author(s):  
Youn Joo Lee ◽  
Sung Joo Lee ◽  
Kang Ryoung Park ◽  
Jaeik Jo ◽  
Jaihie Kim

2019 ◽  
Vol 27 (2) ◽  
Author(s):  
Gemma Rotger ◽  
Francesc Moreno-Noguer ◽  
Felipe Lumbreras ◽  
Antonio Agudo

Author(s):  
Haibin Fu ◽  
Shaojun Bian ◽  
Ehtzaz Chaudhry ◽  
Andres Iglesias ◽  
Lihua You ◽  
...  

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Limin Xu

Aiming at the face photos of film and television animation, this paper proposes a new fast three-dimensional (3D) face modelling algorithm. First of all, based on the LBF algorithm, this paper proposes a multifeature selection idea to automatically detect multiple features of the face. Secondly, in order to solve the shortcomings of slow training speed while achieving large pose face alignment, the regression-based CNN is selected as the algorithm to achieve fast convergence. Then, due to the influence of various factors, the extracted feature points are not completely correct, and Gabor features are used to screen the matching of feature points. Finally, by analysing the principle of 3DMM 3D face reconstruction, a single-view 3D face reconstruction method based on CNN is proposed. The experimental results show that the algorithm in this paper has good reconstruction performance and real-time performance and can realize the rapid modelling of human face.


Author(s):  
Xingjuan Cai ◽  
Yihao Cao ◽  
Yeqing Ren ◽  
Zhihua Cui ◽  
Wensheng Zhang

2018 ◽  
Vol 37 (2) ◽  
pp. 523-550 ◽  
Author(s):  
M. Zollhöfer ◽  
J. Thies ◽  
P. Garrido ◽  
D. Bradley ◽  
T. Beeler ◽  
...  

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