Improved 3D face reconstruction from stereo images

Jian Yu; Feipeng Da

doi:10.1117/12.2500460

24 July 2018 Improved 3D face reconstruction from stereo images

Jian Yu, Feipeng Da

Proceedings Volume 10827, Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018); 108270X (2018) https://doi.org/10.1117/12.2500460
Event: Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 2018, Shanghai, China

Abstract

This paper presents an approach for stereo-based 3D face reconstruction. Our approach is based on depth estimation of the face by using the stereo image pair, requiring neither expensive devices nor generic face models. In order to improve the depth estimation, our approach incorporates face properties to enhance the 3D face reconstruction. The approach starts with a sparse disparity map with 68 facial landmarks detected by dlib toolkit. Considering the face symmetry and smoothness, we complete the dense disparity estimation with the guidance of the sparse disparity map. Post-processing is implemented including outliers removal and surface mesh. Experimental results provided show that the algorithm is promising.

Citation Download Citation

Jian Yu and Feipeng Da "Improved 3D face reconstruction from stereo images", Proc. SPIE 10827, Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018), 108270X (24 July 2018); https://doi.org/10.1117/12.2500460

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available