title: A Multiscale Constraints Method Localization of 3D Facial Feature Points.
abstract: 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.
authors.affiliation: College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an 710054, China ; School of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
authors.forename: Hong-an
authors.initials: HA
authors.lastname: Li
authors.affiliation: School of Information Technology, Luoyang Normal University, Luoyang 471022, China.
authors.forename: Yongxin
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an 710054, China ; School of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
authors.forename: Zhanli
authors.initials: Z
authors.lastname: Li
authors.affiliation: College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an 710054, China.
authors.forename: Huilin
authors.initials: H
authors.lastname: Li
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D019295:Computational Biology; D003198:Computer Simulation; D005145:Face / Q000033:anatomy & histology* / Q000000981:diagnostic imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods / Q000706:statistics & numerical data; D021621:Imaging, Three-Dimensional / Q000379:methods* / Q000706:statistics & numerical data; D008953:Models, Anatomic; D010363:Pattern Recognition, Automated / Q000379:methods / Q000706:statistics & numerical data; D014057:Tomography, X-Ray Computed