A Multiscale Constraints Method Localization of 3D Facial Feature Points
Joint Authors
Li, Hong-an
Zhang, Yongxin
Li, Zhanli
Li, Huilin
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-11
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
It is an important task to locate facial feature points due to the widespread application of 3D human face models in medical fields.
In this paper, we propose a 3D facial feature point localization method that combines the relative angle histograms with multiscale constraints.
Firstly, the relative angle histogram of each vertex in a 3D point distribution model is calculated; then the cluster set of the facial feature points is determined using the cluster algorithm.
Finally, the feature points are located precisely according to multiscale integral features.
The experimental results show that the feature point localization accuracy of this algorithm is better than that of the localization method using the relative angle histograms.
American Psychological Association (APA)
Li, Hong-an& Zhang, Yongxin& Li, Zhanli& Li, Huilin. 2015. A Multiscale Constraints Method Localization of 3D Facial Feature Points. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1057821
Modern Language Association (MLA)
Li, Hong-an…[et al.]. A Multiscale Constraints Method Localization of 3D Facial Feature Points. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1057821
American Medical Association (AMA)
Li, Hong-an& Zhang, Yongxin& Li, Zhanli& Li, Huilin. A Multiscale Constraints Method Localization of 3D Facial Feature Points. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1057821
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057821