Fast 3D face reconstruction based on uncalibrated photometric stereo

2013 ◽  
Vol 74 (11) ◽  
pp. 3635-3650 ◽  
Author(s):  
Yujuan Sun ◽  
Junyu Dong ◽  
Muwei Jian ◽  
Lin Qi
Keyword(s):  
Photometric Stereo ◽  
3D Face Reconstruction ◽  
3D Face ◽  
Face Reconstruction

scholarly journals The Photometric Stereo Approach and the Visualization of 3D Face Reconstruction

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Muhammad Sajid Khan ◽  
Zabeeh Ullah ◽  
Maria Shahid ◽  
Zohaib Arshad ◽  
Sobia Yousaf
Keyword(s):  
Photometric Stereo ◽  
3D Face Reconstruction ◽  
3D Face ◽  
Face Reconstruction

NONITERATIVE 3D FACE RECONSTRUCTION BASED ON PHOTOMETRIC STEREO

2008 ◽  
Vol 22 (03) ◽  
pp. 389-410 ◽  
Author(s):  
SANG-WOONG LEE ◽  
PATRICK S. P. WANG ◽  
SVETLANA N. YANUSHKEVICH ◽  
SEONG-WHAN LEE
Keyword(s):  
Photometric Stereo ◽  
Face Database ◽  
3D Face Reconstruction ◽  
3D Face ◽  
3D Shape ◽  
Face Reconstruction ◽  
Lighting Conditions ◽  
3D Shape Reconstruction ◽  
3D Shapes ◽  
2D Images

3D face reconstruction is a popular area within the computer vision domain. 3D face reconstruction should ideally be achieved easily and cost-effectively, without requiring specialized equipment to estimate 3D shapes. As a result of this, many techniques for retrieving 3D shapes from 2D images have been proposed. In this paper, a novel method for 3D face reconstruction based on photometric stereo, which estimates the surface normal from shading information in multiple images, hence recovering the 3D shape of a face, is proposed. In order to overcome the problems of previous approaches related to prior-knowledge regarding lighting conditions and iterative algorithms, the exemplar is synthesized with known lighting conditions from at least three images, under arbitrary lighting conditions and using an illumination reference. Experiments in 3D face reconstruction were made by verifying the proposed approach using the illumination subset of the Max-Planck Institute face database and Yale face database B. Experimental results demonstrate that the proposed method is effective for 3D shape reconstruction of faces from 2D images.

Multi-objective Evolutionary 3D Face Reconstruction Based on Improved Encoder-Decoder Network

2021 ◽  
Author(s):  
Xingjuan Cai ◽  
Yihao Cao ◽  
Yeqing Ren ◽  
Zhihua Cui ◽  
Wensheng Zhang
Keyword(s):  
3D Face Reconstruction ◽  
3D Face ◽  
Multi Objective ◽  
Face Reconstruction

State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications

2018 ◽  
Vol 37 (2) ◽  
pp. 523-550 ◽  
Author(s):  
M. Zollhöfer ◽  
J. Thies ◽  
P. Garrido ◽  
D. Bradley ◽  
T. Beeler ◽  
...  
Keyword(s):  
State Of The Art ◽  
3D Face Reconstruction ◽  
3D Face ◽  
Face Reconstruction
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