Paper
24 July 2018 Improved 3D face reconstruction from stereo images
Jian Yu, Feipeng Da
Author Affiliations +
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
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KEYWORDS
3D modeling

Clouds

3D image processing

3D metrology

3D image reconstruction

Reconstruction algorithms

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