Abstract
Face represents complex, multi dimensional, meaningful visual stimuli. Computational models for face recognition represent the problem as a high dimensional pattern recognition problem. This paper introduces an innovative facial identification method using eigenface approach on volume-based graphics rather than 2D photo-images. We propose to convert polygon mesh surface to a volumetric representation by regular sampling in a volumetric space. Our motivation is to extend existing 2D facial analysis techniques to a 3D image space by taking advantage of use of the volumetric representation. We apply principle component analysis (PCA) for dimensionality reduction. Face feature patterns are projected onto a lower dimensional PCA sub-space that spans the known facial patterns. 3D eigenface feature space is constructed for face identification.
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References
Bruce, V., Burton, M.: Computer recognition of faces. In: Young, A.W., Ellis, H.D. (eds.) Handbook of Research on Face Processing, pp. 487–506. Elsevier Science Publishers B.V, North Holland (1989)
Samal, A., Iyengar, P.: Automatic Recognition and Analysis of Human Faces and Facial Expressions: A Survey, Pattern Recognition, vol. 25, pp. 65–77 (1992)
Chellappa, R., Wilson, C.L., Sirohey, C.: Human and Machine Recognition of Faces: A Survey. IEEE Trans. on PAMI 83, 705–740 (1995)
Chang, K., Bowyer, K., Flynn, P.J.: Face Recognition Using 2D and 3D Facial Data. In: Workshop in Multimodal User Authentication, Santa Barbara, California, pp. 25–32 (2003)
Lu, X., Jain, A.: Integrating Range and Texture Information for 3D Face Recognition. In: IEEE Workshop on Applications of Computer Vision, Colorado, pp. 156–163 (2005)
Gordon, G.: Face recognition based on depth maps and surface curvature. SPIE proc. on Geometric Method in Computer Vision 1570, 234–247 (1991)
Tanaka, H.T., Ikeda, M., Chiaki, H.: Curvature-Based Face Surface Recognition Using Spherical Correlation - Principal Directions for Curved Object Recognition. In: 3rd IEEE International Conference on Face & Gesture Recognition, Nara, Japan, pp. 372–377 (1998)
Beumier, C., Acheroy, M.P.: Automatic Face Authentication from 3D Surface. In: Conference (BMVC 1998), University of Southampton UK, pp. 449–458 (1998)
Blanz, V., Vetter, T.: Face Recognition Based on Fitting a 3D Morphable Model. IEEE Trans. on Pattern Analysis and Machine Intelligence 25(9), 1063–1073 (2003)
Kaufman, A.: Efficient Algorithms for Scan-converting 3D Polygons. Computers and Graphics 12(2), 213–219 (1998)
Huang, J., Blanz, V., Heisele, B.: Face Recognition Using Component-Based SVM Classification and Morphable Models. In: Lee, S.-W., Verri, A. (eds.) SVM 2002. LNCS, vol. 2388, pp. 334–341. Springer, Heidelberg (2002)
Nehab, D., Shilane, P.: Stratified Point Sampling of 3D Models. In: Alexa, M., Rusinkiewicz, S. (eds.) Eurographics Symposium on Point-Based Graphics (2004)
Jain, A., Huang, J.: Integrating Independent Components and Support Vector Machines for Gender Classification. In: IEEE International Conference on Pattern Recognition (ICPR 2004), pp. 558–561 (2004)
Zhang, L., Razdan, A., Farin, G., Bae, M.S., Femiani, J.: 3D Face Authentication and Recognition Based in Bilateral Symmetry Analysis, IEEE Trans. on PAMI (under revision)
Besl, P., McKay, N.: A Method for Registration of 3D Shapes. IEEE Trans. on PAMI 14(2), 239–256 (1992)
Kaufman, A., Cohen, D., Yagel, R.: Volume graphics. IEEE Computer Graphics and Applications 13, 51–64 (1993)
Cohen, D., Kaufman, A.: Scan-conversion algorithms for linear and quadratic objects. In: Kaufman, A. (ed.) Volume Visualization, pp. 280–301 (1991)
Fang, S., Chen, H.: Hardware accelerated voxelization, Volume Graphics, pp. 301–315. Springer, Heidelberg (2000)
Fang, S., Liao, D.: Fast CSG voxelization by Frame Buffer Pixel Mapping. In: Proc. IEEE/ACM Symposium on Volume Visualization, pp. 43–48 (2000)
Turk, M., Pentland, A.: Eigenfaces for recognition. J. of Cognitive Neuroscience 3(1), 71–86 (1991)
Moghaddam, B., Wahid, W., Pentland, A.: Beyond eigenfaces: probabilistic matching for face recognition. In: 3rd IEEE International Conference on Face & Gesture Recognition, Nara, Japan, pp. 30–35 (1998)
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Huang, J., Maheshwari, N., Fang, S. (2006). Automated Face Identification Using Volume-Based Facial Models. In: Nishita, T., Peng, Q., Seidel, HP. (eds) Advances in Computer Graphics. CGI 2006. Lecture Notes in Computer Science, vol 4035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11784203_74
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DOI: https://doi.org/10.1007/11784203_74
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