Abstract
The parametric reconstruction method has been developed for solving the problems concerning computer simulation of the 3D distributions of discrete objects, which are commonly specified by the parallel cross sections in the initial point cloud. The role of simulation and the model itself is examined as applied to the visualization of 3D distributions of objects and the analysis of microscopy data. The conceptual prerequisites and particularities of the technical implementation of the proposed method are compared with the lofting technique, which is widespread in modern 3D simulation systems. The peculiarities of method application are demonstrated by the example of reconstruction based on a series of model data.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
B. Geiger, PhD Thesis (INRIA, France, 1993).
Allen Brain Atlas (Allen Institute for Brain Science, 2003–2013); http://human.brain-map.org/static/brainexplorer
O. V. Evseev, V. E. Antsiperov, and Yu. V. Obukhov, in Radar and Wireless (Proc. 6th All-Rus. Sci.-Techn. Conf., Moscow, Nov. 19–23, 2012) (IRE im. V. A. Kotel’nikova RAN, Moscow, 2012).
L. Piegl and W. Tiller, The NURBS Book (Springer-Verlag, Berlin, 1997).
S. Zhuang, Y. Huang, K. Palaniappan, and Y. Zhao, IEEE Trans. Image Process. 5, 1293 (1996).
R. Neal, G. E. Hinton, and M. I. Jordan, A View of the EM Algorithm that Justifies Incremental, Sparse, and Other Variants (MIT Press, Cambridge, MA, 1999).
Yu. V. Obukhov, V. E. Antsiperov, and O. V. Evseev, J. Radioelektron., No. 7 (2012); http://jre.cplire.ru/jre/jul12/5/text.pdf
I. B. Gurevich, E. A. Kozina, A. A. Myagkov, et al., Pattern Recognit Image Anal.: Adv. Math. Theory Appl. 20, 349 (2010).
N. Vlassis and A. Likas, Neural Process Lett. 15, 77 (2002).
V. E. Antsiperov and O. V. Evseev, in Proc. 9th Conf. “Intellectualization of Processing of Information,” Budva, Chernogoriya, Sept. 16–22, 2012 (Torus Press, Moscow, 2012).
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © O.V. Evseev, S.A. Nikitov, V.E. Antsiperov, 2014, published in Radiotekhnika i Elektronika, 2014, Vol. 59, No. 3, pp. 279–288.
Rights and permissions
About this article
Cite this article
Evseev, O.V., Nikitov, S.A. & Antsiperov, V.E. Parametric 3D reconstruction of the distribution density of point objects. J. Commun. Technol. Electron. 59, 259–268 (2014). https://doi.org/10.1134/S1064226914030048
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1064226914030048