Abstract
Principal Component Analysis, a statistical tool allowing to create a low dimensional subspace basing on input data, finds many applications in biomechanics. The PCA requires the same topology (mesh connectivity, number of nodes) for all objects in database. To achieve this, each new object added to database must be registered. In this article the finishing registration procedure, based on own software and created especially for biological data sets, is presented. The study of registration process for 3D input data (faces and hands) for PCA is discussed.
Chapter PDF
Similar content being viewed by others
Keywords
References
Brett, A., Curless, B., Popović, Z.: The space of human body shapes: reconstruction and parameterization from range scans. ACM Transactions on Graphics (TOG) 22(3) (2003)
Bruce, D.A., et al.: Recognizing faces with PCA and ICA. Computer Vision and Image Understanding 91(1), 115–137 (2003)
Holmes, P., Lumley, J.L., Berkooz, G.: Turbulence, Coherent Structures, Dynamical Systems and Symmetry. Cambridge University Press, Cambridge (1998)
Jain, A.K., et al.: A prototype hand geometry based verification system. In: Proc. 2nd Int. Conf. Audio- and Video-Based Biometric Person Authentication, pp. 166–171 (1999)
Kennel, M.B.: KDTREE 2: Fortran 95 and C++ software to efficiently search for near neighbors in a multi-dimensional Euclidean space. Arxiv preprint physics/0408067 (2004)
Morzyński, M., Afanasiev, K., Thiele, F.: Solution of the eigenvalue problems resulting from global non-parallel flow stability analysis. Computer Methods in Applied Mechanics and Engineering 169, 161–176 (1999)
Rychlik, M., Stankiewicz, W.: Extraction of 3D Geometrical Features of Biological Objects with 3D PCA Analysis and Applications of Results. In: Naik, G.R. (ed.) Applied Biological Engineering – Principles and Practice, pp. 85–112. InTech (2012)
Rychlik, M., Stankiewicz, W., Morzyński, M.: Application of modal analysis for extraction of geometrical features of biological objects set. In: BIODEVICES 2008: Proc. 1st Int. Conf. Biomed. Electronics and Devices, vol. 2, pp. 227–232 (2008)
Rychlik, M., Stankiewicz, W., Morzynski, M.: Numerical Analysis of Geometrical Features of 3D Biological Objects for Three Dimensional Biometric and Anthropometric Database. In: Stephanidis, C. (ed.) Universal Access in HCI, Part II, HCII 2011. LNCS, vol. 6766, pp. 108–117. Springer, Heidelberg (2011)
Sanchez-Reillo, R., Sanchez-Avila, C., Gonzales-Marcos, A.: Biometric Identification Through Hand Geometry Measurements. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(10), 1168–1171 (2000)
Shepard, D.: A two-dimensional interpolation function for irregularly-spaced data. In: Proceedings of the 1968 ACM National Conference, pp. 517–524 (1968)
Stankiewicz, W., Roszak, R., Morzynski, M.: Genetic Algorithm-based Calibration of Reduced Order Galerkin Models. Math. Mod. Anal. 16(2), 233–247 (2011)
Xuerong, C., Jing, Z., Xiao, G.: Nonlinear fusion for face recognition using fuzzy integral. Comm. Nonlin. Science and Num. Sim. 12(5), 823–831 (2007)
Yörük, E., Dutağaci, H., Sankur, B.: Hand biometrics. Image and Vision Computing 24(5), 483–497 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rychlik, M., Stankiewicz, W., Morzynski, M. (2013). Biological Objects Data Registration Algorithm for Modal (Low Dimensional) Analysis. In: Stephanidis, C. (eds) HCI International 2013 - Posters’ Extended Abstracts. HCI 2013. Communications in Computer and Information Science, vol 373. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39473-7_130
Download citation
DOI: https://doi.org/10.1007/978-3-642-39473-7_130
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39472-0
Online ISBN: 978-3-642-39473-7
eBook Packages: Computer ScienceComputer Science (R0)