Facial feature localization based on an improved active shape model

The original active shape model (ASM) has already been applied to the areas such as image segmentation, feature points localization, and contour extraction. However, the original ASM suffers from the loss of accuracy and low speed in real time applications. Due to this, a new scheme of active shape model for facial feature extraction is proposed in this paper. In this scheme, the improvement of the performance of the original ASM concerns the following three aspects. Firstly, the profile of the original ASM is extended from 1D to 2D. Secondly, each profile related to different features are constructed separately. Thirdly, the length of the profile varies with different levels. The simulations are carried out using the SJTU dataset, which contains 2273 face images. Experimental results demonstrate that the proposed scheme exhibits better performance than the original ASM.

[1]  Kin-Man Lam,et al.  An accurate active shape model for facial feature extraction , 2005 .

[2]  Dinggang Shen,et al.  Hierarchical active shape models, using the wavelet transform , 2003, IEEE Transactions on Medical Imaging.

[3]  Jie Yang,et al.  Supervised locality pursuit embedding for pattern classification , 2006, Image Vis. Comput..

[4]  Mi-Gyung Cho.  A new gesture recognition algorithm and segmentation method of Korean scripts for gesture-allowed ink editor , 2006, Inf. Sci..

[5]  Eam Khwang Teoh,et al.  A new scheme for automated 3D PDM construction using deformable models , 2008, Image Vis. Comput..

[6]  Frank Y. Shih,et al.  Automatic extraction of head and face boundaries and facial features , 2004, Inf. Sci..

[7]  Jung Liu,et al.  Shape-based image retrieval using support vector machines, Fourier descriptors and self-organizing maps , 2007, Inf. Sci..

[8]  Dong Xu,et al.  Face Verification With Balanced Thresholds , 2007, IEEE Transactions on Image Processing.

[9]  B. C. Brookes,et al.  Information Sciences , 2020, Cognitive Skills You Need for the 21st Century.

[10]  Shu Hung Leung,et al.  Lip image segmentation using fuzzy clustering incorporating an elliptic shape function , 2004, IEEE Transactions on Image Processing.

[11]  Wen Gao,et al.  Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition , 2007, IEEE Transactions on Image Processing.

[12]  Harry Shum,et al.  Face alignment using texture-constrained active shape models , 2003, Image Vis. Comput..

[13]  Jiawei Han,et al.  Orthogonal Laplacianfaces for Face Recognition , 2006, IEEE Transactions on Image Processing.

[14]  Timothy F. Cootes,et al.  Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..

[15]  Ghassan Hamarneh,et al.  Deformable spatio-temporal shape models: extending active shape models to 2D+time , 2004, Image Vis. Comput..

[16]  Timothy F. Cootes,et al.  Active Appearance Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Timothy F. Cootes,et al.  Texture enhanced appearance models , 2007, Comput. Vis. Image Underst..

[18]  Alejandro F. Frangi,et al.  Active shape model segmentation with optimal features , 2002, IEEE Transactions on Medical Imaging.

[19]  Eam Khwang Teoh,et al.  Bayesian shape model for facial feature extraction and recognition , 2003, Pattern Recognit..

[20]  Wen Gao,et al.  An improved active shape model for face alignment , 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.

[21]  Mignon Park,et al.  An effective method for detecting facial features and face in human-robot interaction , 2006, Inf. Sci..

[22]  Javier Montero,et al.  A coloring fuzzy graph approach for image classification , 2006, Inf. Sci..

[23]  Thomas Vetter,et al.  Face Recognition Based on Fitting a 3D Morphable Model , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[24]  Bjarne K. Ersbøll,et al.  FAME-a flexible appearance modeling environment , 2003, IEEE Transactions on Medical Imaging.

[25]  Alan S. Willsky,et al.  Nonparametric shape priors for active contour-based image segmentation , 2005, 2005 13th European Signal Processing Conference.

[26]  Pong C. Yuen,et al.  Multi-cues eye detection on gray intensity image , 2001, Pattern Recognit..

[27]  Kai Zhang,et al.  Multi-view face identification and pose estimation using B-spline interpolation , 2005, Inf. Sci..