• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Multiscale Implicit Functions for Unified Data Representation

Vol. 5, No.12, December 31, 2011
10.3837/tiis.2011.12.007, Download Paper (Free):

Abstract

A variety of reconstruction methods has been developed to convert a set of scattered points generated from real models into explicit forms, such as polygonal meshes, parametric or implicit surfaces. In this paper, we present a method to construct multi-scale implicit surfaces from scattered points using multiscale kernels based on kernel and multi-resolution analysis theories. Our approach differs from other methods in that multi-scale reconstruction can be done without additional manipulation on input data, calculated functions support level of detail representation, and it can be naturally expanded for n-dimensional data. The method also works well with point-sets that are noisy or not uniformly distributed. We show features and performances of the proposed method via experimental results for various data sets.


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Cite this article

[IEEE Style]
Seongmin Yun and Sanghun Park, "Multiscale Implicit Functions for Unified Data Representation," KSII Transactions on Internet and Information Systems, vol. 5, no. 12, pp. 2374-2391, 2011. DOI: 10.3837/tiis.2011.12.007

[ACM Style]
Yun, S. and Park, S. 2011. Multiscale Implicit Functions for Unified Data Representation. KSII Transactions on Internet and Information Systems, 5, 12, (2011), 2374-2391. DOI: 10.3837/tiis.2011.12.007