TITLE:
Survey of Surface Reconstruction Algorithms
AUTHORS:
Amin Alqudah
KEYWORDS:
Surface Reconstruction, Convex Hull, Delaunay Triangulation
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.5 No.3,
July
30,
2014
ABSTRACT: Surface reconstruction is
a problem in the field of computational geometry that is concerned with
recreating a surface from scattered data points sampled from an unknown
surface. To date, the primary application of surface reconstruction algorithms
has been in computer graphics, where physical models are digitized in three
dimensions with laser range scanners or mechanical digitizing probes
(Bernardiniet al., 1999[1]). Surface reconstruction algorithms
are used to convert the set of digitized points into a wire frame mesh model,
which can be colored, textured, shaded, and placed into a 3D scene (in a movie
or television commercial, for example). In this paper, we discuss some
computational geometry preliminaries, and then move on to a summary of some different
techniques used to address the surface reconstruction problem. The coming
sections describe two algorithms: that of Hoppe,et al. (1992[2]) and Amenta,et al. (1998[3]). Finally, we present other
applications of surface reconstruction and a brief comparison for some
algorithms in this filed emphasizing on their advantages and disadvantages.