INVESTIGATING THE USE OF POINT'S NORMAL FROM POLYGONAL MESH FOR SURFACE RECONSTRUCTION USING MPU IMPLICITS
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Date
2008-06
Authors
RUHAIYEM, NUR INTAN RAIHANA
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Abstract
This thesis presents new propose process of surface reconstruction using Multilevel
Partition of Unity (MPU) Implicits. The process we proposed is to calculate point's
normal from polygonal mesh. The objectives of this research are first to propose a
process for estimating Normals from polygonal mesh and second is to evaluate the
surface reconstructed using MPU Implicits from Normal estimated in the proposed
process. MPU Implicits provide a superior approach which can handle a very large data
set of points. In addition, it has ability to represent sharp features and good for functionbased
modeling. Instead of calculate normal for each 3D point which is time consuming,
our propose process is calculate point's normal from polygonal mesh. MPU Implicits
models additionally require surface normal information at each point and the input must
be in point with normals (PWN) file format. Thus, in this research we investigate and
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measure the effectiveness of using polygonal mesh in order to produce PWN file. We
describe an algorithm that estimates normals from polygonal mesh. We also demonstrate
the effectiveness of our propose process with a number of examples including complete
points data, sparse data and binary images.
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Keywords
SURFACE RECONSTRUCTION , MPU IMPLICITS