scholarly journals Human Face Reconstruction Using Bayesian Deformable Models

2006 ◽  
Author(s):  
George Mamic ◽  
Clinton Fookes ◽  
Sridha Sridharan
Keyword(s):  
Deformable Models ◽  
Human Face ◽  
Face Reconstruction

Age and gender-based human face reconstruction from single frontal image

2018 ◽  
Vol 79 (5-6) ◽  
pp. 3217-3242 ◽  
Author(s):  
Zuzana Ferková ◽  
Petra Urbanová ◽  
Dominik Černý ◽  
Marek Žuži ◽  
Petr Matula
Keyword(s):  
Human Face ◽  
Age And Gender ◽  
Face Reconstruction ◽  
Gender Based ◽  
And Gender

Accuracy enhancement of 3D profilometric human face reconstruction using undecimated wavelet analysis

2012 ◽  
Vol 51 (16) ◽  
pp. 3120 ◽  
Author(s):  
Fatemeh Mohammadi ◽  
Khosro Madanipour ◽  
Amir Hossein Rezaie
Keyword(s):  
Wavelet Analysis ◽  
Human Face ◽  
Accuracy Enhancement ◽  
Face Reconstruction ◽  
Undecimated Wavelet

Human Face Reconstruction under a HMD Occlusion

2019 ◽  
Author(s):  
Zhengfu Peng ◽  
Ting Lu ◽  
Zhaowen Chen ◽  
Xiangmin Xu ◽  
Shu Lin
Keyword(s):  
Human Face ◽  
Face Reconstruction

scholarly journals Fast Modelling Algorithm for Realistic Three-Dimensional Human Face for Film and Television Animation

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Limin Xu
Keyword(s):  
Three Dimensional ◽  
Reconstruction Method ◽  
Feature Points ◽  
Human Face ◽  
3D Face Reconstruction ◽  
3D Face ◽  
Film And Television ◽  
Face Reconstruction ◽  
Reconstruction Performance ◽  
The Face

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.

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