Algorithm of 3D Face Location Using Geodesic Distance
The traditional two-dimensionnal face positoning unable overcome the rotation，expression，posture， and own a low accuracy in the location. We join the geodesic distance on the 3D face modle and proposed the algorithm of three-dimension location using geodesic distance. We use wiener filtering to prep...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2018-12-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1620 |
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| Summary: | The traditional two-dimensionnal face positoning unable overcome the rotation，expression，posture， and own a low accuracy in the location. We join the geodesic distance on the 3D face modle and proposed the algorithm of three-dimension location using geodesic distance. We use wiener filtering to preprocess the 3- dimentional face datas for the detecting image and confirm the location of the face by finding the location of nose point in the preprocessing image called nose tip location. Then we unify the human faces to the same coordinate frame. Finally，and mark the face region to be detected in the resulting image. The algorithm makes the experiment on FＲGC face database and BU-3DFE face database，uses the depth information positioning method and spiders feature point positioning methods for comparing. The experimental results show that our algorithm of positioning accuracy is higher，stronger and has good robustness. |
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| ISSN: | 1007-2683 |