Abstract
In this paper, we present an automatic face authentication system. Accurate segmentation of prominent facial features is accomplished by means of an extension of the Active Shape Model (ASM) approach, the so-called Active Shape Model with Invariant Optimal Features (IOF-ASM). Once the face has been segmented, a pose correction step is applied, so that frontal face images are synthesized. For the generation of these virtual images, we make use of a subset of the shape parameters extracted from a training dataset and Thin Plate Splines texture mapping. Afterwards, sets of local features are computed from these virtual images. The performance of the system is demonstrated on configurations I and II of the XM2VTS database.
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References
Pentland, A., et al.: View-based and Modular Eigenspaces for Face Recognition. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 84–91 (1994)
Beymer, D.J., Poggio, T.: Face Recognition from One Example View. In: Proc. International Conference on Computer Vision, pp. 500–507 (1995)
Blanz, V., Vetter, T.: A Morphable model for the synthesis of 3D faces. In: Proc. SIGGRAPH, pp. 187–194 (1999)
Bookstein, F.L.: Principal Warps: Thin-Plate Splines and the Decomposition of Deformations. IEEE Transactions on Pattern Analysis and Machine Intelligence 11(6), 567–585 (1989)
González-Jiménez, D., Alba-Castro, J.L.: Shape Contexts and Gabor Features for Face Description and Authentication. In: Proc. IEEE ICIP 2005, pp. 962–965 (2005)
Belongie, S., Malik, J., Puzicha, J.: Shape Matching and Object Recognition Using Shape Contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(24), 509–522 (2002)
Duc, B., Fischer, S., Bigun, S.: Face authentication with sparse grid gabor information. In: IEEE Proc. ICASSP, Munich, vol. 4, pp. 3053–3056 (1997)
Argones-Rúa, E., Kittler, J., Alba-Castro, J.L., González-Jiménez, D.: Information fusion for local Gabor features based frontal face verification. In: Proc. International Conference on Biometrics (ICB), Hong Kong, pp. 173–181. Springer, Heidelberg (2006)
Luttin, J., Maître, G.: Evaluation protocol for the extended M2VTS database (XM2VTSDB). Technical report RR-21, IDIAP (1998)
Kittler, J., Hatef, M., Duin, R., Matas, J.: On Combining Classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(3), 226–239 (1998)
Cootes, T., Taylor, C., Cooper, D., Graham, J.: Active shape models - their training and application. Computer Vision and Image Understanding 61(1), 38–59 (1995)
Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. In: Burkhardt, H., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1407, pp. 484–498. Springer, Heidelberg (1998)
Florack, L.: The Syntactical Structure of Scalar Images. PhD thesis, Utrecht University, Utrecht, The Nedherlands (2001)
Huber, P.: Robust Statistics. Wiley, New York (1981)
Kang, H., Cootes, T., Taylor, C.: A comparison of face verification algorithms using appearance models. In: Proc. British Machine Vision Conference, Cardiff, UK, vol. 2, pp. 477–486 (2002)
Lanitis, A., Taylor, C., Cootes, T.: Automatic interpretation and coding of face images using flexible models. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 743–756 (1997)
Messer, K., Kittler, J., Sadeghi, M., Marcel, S., Marcel, C., Bengio, S., Cardinaux, F., Sanderson, C., Czyz, J., Vandendorpe, L., et al.: Face verification competition on the XM2VTS database. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 964–974. Springer, Heidelberg (2003)
Messer, K., Matas, J., Kittler, J., Luettin, J., Maitre, G.: XM2VTSDB: The extended M2VTS database. In: Proc. International Conference on Audio- and Video-Based Person Authentication, pp. 72–77 (1999)
Philips, P., Moon, H., Rizvi, S., Rauss, P.: The FERET evaluation methodology for face recognition algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(10), 1090–1104 (2000)
Schmid, C., Mohr, R.: Local greyvalue invariants for image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(5), 530–535 (1997)
Sukno, F., Ordás, S., Butakoff, C., Cruz, S., Frangi, A.F.: Active shape models with invariant optimal features (IOF-aSMs). In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 365–375. Springer, Heidelberg (2005)
Walker, K., Cootes, T., Taylor, C.J.: Correspondence using distinct points based on image invariants. In: British Machine Vision Conference, vol. 1, pp. 540–549 (1997)
Wiskott, L., Fellows, J.-M., Kruger, N., von der Malsburg, C.: Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 775–779 (1997)
Bengio, S., Mariéthoz, J.: A statistical significance test for person authentication. In: Proc. Odyssey, pp. 237–244 (2004)
Baker, S., Matthews, I.: Equivalence and Efficiency of Image Alignment Algorithms. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 1090–1097 (2001)
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González-Jiménez, D., Sukno, F., Alba-Castro, J.L., Frangi, A. (2006). Automatic Pose Correction for Local Feature-Based Face Authentication. In: Perales, F.J., Fisher, R.B. (eds) Articulated Motion and Deformable Objects. AMDO 2006. Lecture Notes in Computer Science, vol 4069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11789239_37
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DOI: https://doi.org/10.1007/11789239_37
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