Approximation of 3D Face Model

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The approximation of a 3D face model is considered very promising in the recognition of individuals. However, the challenges are open today: the robustness of these 3D approaches to change facial expressions and optimization of computation time required in the scenarios identified. In this paper, we present a complete solution for the extraction of a 3D model of face and its 3D position from a small number of pairs of landmarks 2D-2D and 2D-3D matching. This extraction step is considered as an initialization method for face tracking based on the 3D model. The solution is divided in two steps. The first step recovers an approximation of the 3D face model, the second step deals with the improvement of this 3D face model and the pose extraction. Our solution is robust, fast and sufficiently descriptive.
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Biometrics; 3D Face Model; Approximation of the Shape; Approximation of the Pose

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S. M. Anzar, P. S. Sathidevi, Fusion of Biometric Modalities Using Multi-Normalization and Genetic Algorithm, (2012) International Review on Computers and Software (IRECOS), 7 (6), pp. 2810-2818.

T. Khadhraoui, F. Benzarti, H. Amiri, Face Analysis and Pose Approximation, 2013 International Conference on Computer Medical Applications.

D. Huang, M. Ardabilian, Y. Wang, L. Chen, Automatic Asymmetric 3D-2D Face Recognition, 2010 International Conference on Pattern Recognition.

C. Nandini, H. Ramakrishna, C. N. Ravikumar, N. S. Shetty, A Novel Multimodal Biometric Approach for Recognition By Combining Gait And Face, International Journal of Computer Applications & Information Technology Vol. I, Issue III, November 2012.

B. Thiyaneswaran, S. Padma, Human Authorization Using Wavelet and Tensor Object Analysis of the Iris Biometrics, (2012) International Review on Computers and Software (IRECOS), 7 (6), pp. 3047-3055.

V. Blanz, T. Vetter, Face recognition based on fitting a 3D morphable model, IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(9):1063–1074, 2003.

M. Lee, S. Ranganath, Pose-invariant face recognition using a 3D deformable model, Pattern Recognition, 36(8):1835–1846, 2003.

C. Zhang, F. Cohen, 3-D face structure extraction and recognition from images using 3-D morphing and distance mapping, IEEE Trans. on Image Processing, 11(11):1249–1259, Nov. 2002.

F. Pighin, J. Hecker, D. Lischinski, R. Szeliski, D. Salesin, Synthesizing realistic facial expressions from photographs, In SIGGRAPH’98 Conference Proceedings, pages 75–84. ACM, July 1998.

Z. J. Chen, J. Samaranbandu, Planar region depth filling using edge detection with embedded confidence technique and Hough Transform, In Proceedings of the International Conference on Multimedia and Expo, Vol 2, pp. 89 – 92, 2003.

Q. Zhao, B. Pan, S. Zheng, J. Liang, A new facial key features location algorithm in color images, 9th International Conference on Signal Processing, pages 932 –936, oct. 2008.

S. Wang, X. Feng, H. Chi, X. Wang, Localization and extraction on the eyes, nose and mouth of human face, IEEE International Conference on Granular Computing, pages 561–564, aug. 2009.

M. Asbach, P. Hosten, M. Unger, An Evaluation of Local Features for Face Detection and Localization, Ninth International Workshop on Image Analysis for Multimedia Interactive Services, pages 32 –35, may 2008.

S. J. Park, D. W. Shin, 3D face recognition based on feature detection using active shape models, International Conference on Control, Automation and Systems, pages 1881 –1886, oct. 2008.

Ch. Sun, M. Xie, An enhanced Active Shape Model for facial features extraction, 11th IEEE International Conference on Communication Technology, pages 661 –664, nov. 2008.

Y. Faling, X. Wei, H. Zhanpeng, Z. Jie, A Multiview Nonlinear Active Shape Model Based on 3D Transformation Shape Search, Fifth International Conference on Information Assurance and Security, vol. 2, pages 15 –18, aug. 2009.

Sh. Zhu, J. Zhao, Facial Feature Points Extraction, Fifth International Conference on Image and Graphics, pages 195 –199, sept. 2009.

D. Cristinacce, T. F. Cootes, Automatic Feature Localisation with Constrained Local Models, journal of Pattern Recognition, vol. 41, no. 10, pages 3054–3067, 2008.

I. Kakadiaris, G. Passalis, G. Toderici, N. Murtuza, Y. Lu, N. Karampatziakis, T. Theoharis, 3D face recognition in the presence of facial expressions: an annotated deformable model approach, IEEE Transaction of Pattern Analysis and Machine Intelligence, vol. 29, no. 4, pages 640–649, 2007.

D. Colbry, G. Stockman, Canonical Face Depth Map: A Robust 3D Representation for Face Verification, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 1–7, 2007.

M. L. Koudelka, M. W. Koch, T. D. Russ, A prescreener for 3d face recognition using radial symetry and the hausdorff fraction, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 3, pages 168–168, 2005.

X. Lu, A.K. Jain, Multimodal Facial Feature Extraction for Automatic 3D Face Recognition (Technical Report MSU-CSE-05-22, vol. Michigan State University, 2005).

M. Chaumont, B. Beaumesnil. "Robust and Real-Time 3D-Face Model Extraction", IEEE International Conference on Image Processing, ICIP’2005, Sept. 2005.

F. Hamdaoui, A. Ladgham, A. Sakly, A. Mtibaa, Real Time Implementation of Medical Images Segmentation Using Xilinx System Generator, (2012) International Review on Computers and Software (IRECOS), 7 (6), pp. 2861-2867.

"FEI face Database", (2006) March, available: facedatabase.html.


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