Logo image
Back
Synthesis and identification of three-dimensional faces from image(s) and three-dimensional generic models
Journal article   Peer reviewed

Synthesis and identification of three-dimensional faces from image(s) and three-dimensional generic models

Zexi Liu and Fernand Cohen
Journal of electronic imaging, v 26(6), pp 063005-063005
01 Nov 2017
DOI: https://doi.org/10.1117/1.JEI.26.6.063005

Abstract

Engineering Engineering, Electrical & Electronic Imaging Science & Photographic Technology Optics Physical Sciences Science & Technology Technology
We describe an approach for synthesizing a three-dimensional (3-D) face structure from an image or images of a human face taken at a priori unknown poses using gender and ethnicity specific 3-D generic models. The synthesis process starts with a generic model, which is personalized as images of the person become available using preselected landmark points that are tessellated to form a high-resolution triangular mesh. From a single image, two of the three coordinates of the model are reconstructed in accordance with the given image of the person, while the third coordinate is sampled from the generic model, and the appearance is made in accordance with the image. With multiple images, all coordinates and appearance are reconstructed in accordance with the observed images. This method allows for accurate pose estimation as well as face identification in 3-D rendering of a difficult two-dimensional (2-D) face recognition problem into a much simpler 3-D surface matching problem. The estimation of the unknown pose is achieved using the Levenberg-Marquardt optimization process. Encouraging experimental results are obtained in a controlled environment with high-resolution images under a good illumination condition, as well as for images taken in an uncontrolled environment under arbitrary illumination with low-resolution cameras. (C) 2017 SPIE and IS&T

Metrics

8 Record Views
2 citations in Web of Science
3 citations in Scopus

Details

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Web of Science research areas
Engineering, Electrical & Electronic
Imaging Science & Photographic Technology
Optics
Logo image