A 3D face feature location method based on stripes and shape index is proposed in order to locate the feature points in face exactly and quickly. The grating projection technique is used to obtain 3D face image. Based on the difference between the background fringe image and the deformed fringe image, the basic information of the human face in the image is determined. The basic information includes left and right edge lines, upper and lower edge coordinates and the width of the human face in the image. And then, the approximate position of the ear is quickly determined according to the left or right edge line. The found areas of the tip of the nose and the inner canthus are reduced according to the position of the ear. The position of the tip of the nose and the inner canthus are determined according to the height and shape index information. The experiment was conducted in a dark environment, with an average total time of 4.05 seconds and an average time of positioning of 1.07 seconds. When the allowable error is 15 pixels, the positioning accuracy is 85.34% for different poses, and the positioning accuracy is 96.88% when the face rotation angle is less than 20 degrees.
| Published in | Automation, Control and Intelligent Systems (Volume 6, Issue 4) |
| DOI | 10.11648/j.acis.20180604.12 |
| Page(s) | 47-53 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2018. Published by Science Publishing Group |
3D Face Localization, Grating Projection, Feature Points, Gaussian Curvature, Mean Curvature, Shape Index
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APA Style
Li Chang, Shuai Liu. (2018). 3D Face Feature Location Method Based on Stripes and Shape Index. Automation, Control and Intelligent Systems, 6(4), 47-53. https://doi.org/10.11648/j.acis.20180604.12
ACS Style
Li Chang; Shuai Liu. 3D Face Feature Location Method Based on Stripes and Shape Index. Autom. Control Intell. Syst. 2018, 6(4), 47-53. doi: 10.11648/j.acis.20180604.12
AMA Style
Li Chang, Shuai Liu. 3D Face Feature Location Method Based on Stripes and Shape Index. Autom Control Intell Syst. 2018;6(4):47-53. doi: 10.11648/j.acis.20180604.12
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Download@article{10.11648/j.acis.20180604.12,
author = {Li Chang and Shuai Liu},
title = {3D Face Feature Location Method Based on Stripes and Shape Index},
journal = {Automation, Control and Intelligent Systems},
volume = {6},
number = {4},
pages = {47-53},
doi = {10.11648/j.acis.20180604.12},
url = {https://doi.org/10.11648/j.acis.20180604.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20180604.12},
abstract = {A 3D face feature location method based on stripes and shape index is proposed in order to locate the feature points in face exactly and quickly. The grating projection technique is used to obtain 3D face image. Based on the difference between the background fringe image and the deformed fringe image, the basic information of the human face in the image is determined. The basic information includes left and right edge lines, upper and lower edge coordinates and the width of the human face in the image. And then, the approximate position of the ear is quickly determined according to the left or right edge line. The found areas of the tip of the nose and the inner canthus are reduced according to the position of the ear. The position of the tip of the nose and the inner canthus are determined according to the height and shape index information. The experiment was conducted in a dark environment, with an average total time of 4.05 seconds and an average time of positioning of 1.07 seconds. When the allowable error is 15 pixels, the positioning accuracy is 85.34% for different poses, and the positioning accuracy is 96.88% when the face rotation angle is less than 20 degrees.},
year = {2018}
}
TY - JOUR T1 - 3D Face Feature Location Method Based on Stripes and Shape Index AU - Li Chang AU - Shuai Liu Y1 - 2018/12/27 PY - 2018 N1 - https://doi.org/10.11648/j.acis.20180604.12 DO - 10.11648/j.acis.20180604.12 T2 - Automation, Control and Intelligent Systems JF - Automation, Control and Intelligent Systems JO - Automation, Control and Intelligent Systems SP - 47 EP - 53 PB - Science Publishing Group SN - 2328-5591 UR - https://doi.org/10.11648/j.acis.20180604.12 AB - A 3D face feature location method based on stripes and shape index is proposed in order to locate the feature points in face exactly and quickly. The grating projection technique is used to obtain 3D face image. Based on the difference between the background fringe image and the deformed fringe image, the basic information of the human face in the image is determined. The basic information includes left and right edge lines, upper and lower edge coordinates and the width of the human face in the image. And then, the approximate position of the ear is quickly determined according to the left or right edge line. The found areas of the tip of the nose and the inner canthus are reduced according to the position of the ear. The position of the tip of the nose and the inner canthus are determined according to the height and shape index information. The experiment was conducted in a dark environment, with an average total time of 4.05 seconds and an average time of positioning of 1.07 seconds. When the allowable error is 15 pixels, the positioning accuracy is 85.34% for different poses, and the positioning accuracy is 96.88% when the face rotation angle is less than 20 degrees. VL - 6 IS - 4 ER -
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