Abstract
This paper is framed in the field of statistical face analysis. In particular, the problem of accurate segmentation of prominent features of the face in frontal view images is addressed. Our method constitutes an extension of Cootes et al. [6] linear Active Shape Model (ASM) approach, which has already been used in this task [9]. The technique is built upon the development of a non-linear appearance model, incorporating a reduced set of differential invariant features as local image descriptors. These features are invariant to rigid transformations, and a subset of them is chosen by Sequential Feature Selection (SFS) for each landmark and resolution level. The new approach overcomes the unimodality and gaussianity assumptions of classical ASMs regarding the distribution of the intensity values across the training set. Validation of the method is presented against the linear ASM and its predecesor, the Optimal Features ASM (OF-ASM) [14] using the AR and XM2VTS databases as testbed.
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Aizenberg, I., Butakoff, C., Karnaukhov, V., Merzlyakov, N., Milukova, O.: Blurred image restoration using the type of blur and blur parameters identification on the neural network. In: SPIE Proceedings on Image Processing: Algorithms and Systems, California, USA, vol. 4667, pp. 460–471 (2002)
Aizenberg, I.N., Aizenberg, N.N., Vandewalle, J.: Multi-valued and universal binary neurons: theory, learning, applications. Kluwer Academic Publishers, Boston (2000)
Arya, S., Mount, D.M., Netanyahu, N.S., Silverman, R., Wu, A.Y.: An optimal algorithm for approximate nearest neighbor serching in fixed dimensions. International Jorunal of Computer Vision 45(6), 891–923 (1998)
Bolle, R.M., Ratha, N.K., Pankanti, S.: Error analysis of pattern recognition systems-the subsets bootstrap. Computer Vision and Image Understanding 93, 1–33 (2004)
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)
Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active shape models - their training and application. Computer Vision and Image Understanding 61(1), 38–59 (1995)
Florack, L.: The Syntactical Structure of Scalar Images. PhD thesis, Utrecht University, Utrecht, The Nedherlands (2001)
Kudo, M., Sklansky, J.: Comparison of algorithms that select features for pattern classiers. Pattern Recognition 33, 25–41 (2000)
Lanitis, A., Taylor, C.J., Cootes, T.F.: Automatic interporetation and coding of face images using flexible models. IEEE Transactions on Pattern Analysis and machine intelligence 19(7), 743–756 (1997)
Martin, A., Doddington, G., Kamm, T., Ordowski, M., Przybocki, M.: The det curve in assessment of detection task performance. In: Proceedings of of Eurospeech (EUROSPEECH 1997), pp. 1895–1898 (1997)
Martínez, A., Benavente, R.: The AR face database. technical report. Computer Vision Center, Barcelona, Spain (1998)
Messer, K., Matas, J., Kittler, J., Luettin, J., Maitre, G.: XM2VTSDB: The extended M2VTS database. In: Proceedings of International Conference on Audioand Video-Based Person Authentication, pp. 72–77 (1999)
Perlibakas, V.: Distance measures for PCA-based face recognition. Pattern Recognition Letters 25(6), 711–724 (2004)
van Ginneken, B., Frangi, A.F., Staal, J.J., ter Har Romeny, B.M., Viergever, M.A.: Active shape model segmentation with optimal features. IEEE Transactions on Medical Imaging 21(8), 924–933 (2002)
Walker, K.N., Cootes, T.F., Taylor, C.J.: Correspondence using distinct points based on image invariants. In: British Machine Vision Conference, vol. 1, pp. 540–549 (1997)
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Sukno, F., Ordás, S., Butakoff, C., Cruz, S., Frangi, A. (2005). Active Shape Models with Invariant Optimal Features (IOF-ASMs). In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527923_38
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DOI: https://doi.org/10.1007/11527923_38
Publisher Name: Springer, Berlin, Heidelberg
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