Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Surface Reconstruction


Point Clouds Pre-Processing and Surface Reconstruction Based on Tangent Continuity Algorithm Technique

Ali M. Al-Bdairy; Ahmed A. A. Al-Duroobi; Maan Tawfiq

Engineering and Technology Journal, 2020, Volume 38, Issue 6, Pages 917-925
DOI: 10.30684/etj.v38i6A.1612

Pre-processing is essential for processing the row data point clouds which acquired using a 3D laser scanner as a modern technique to digitize and reconstruct the surface of the 3D objects in reverse engineering applications. Due to the accuracy limitation of some 3D scanners and the environmental noise factors such as illumination and reflection, there are some noised data points associated with the row point clouds, so, in the present paper, a preprocessing algorithm has been proposed to determine and delete the unnecessary data as noised points and save the remaining data points for the surface reconstruction of 3D objects from its point clouds which acquired using the 3D laser scanner (Matter and Form). The proposed algorithm based on the assessment of tangent continuity as a geometrical feature and criteria for the contiguous points. A MATLAB software has been used to construct a program for the proposed point clouds pre-processing algorithm, the validity of the constructed program has been proved using geometrical case studies with different shapes. The application results of the proposed tangent algorithm and surface fitting process for the suggested case studies were proved the validity of the proposed algorithm for simplification of the point clouds, where the percent of noised data which removed according to the proposed tangent continuity algorithm which achieved a reduction of the total points to a percentage of (43.63%), and (32.01%) for the studied case studies, from the total number of data points in point cloud for first and second case study respectively.

Point Cloud Pre-Processing and Surface Reconstruction Based on Chord Algorithm Technique

Ali M. Al-Badairy; Ahmed A. Al-Duroobi; Maan A. Tawfiq

Engineering and Technology Journal, 2019, Volume 37, Issue 9A, Pages 364-368
DOI: 10.30684/etj.37.9A.3

3D laser scanner is one of the modern technologies, which used to obtain the geometric information about the 3D scanned object surface. But, there are some problems that are associated with this technique such as the huge number of obtained points which require high memory to save and the required data processing processes. This paper proposed a data simplification algorithm for point cloud of a scanned object using 3D laser scanner (Matter
and Form) in a manner to extract the necessary geometric features, which are
represented by points for a 3D object. This algorithm based on the
instantaneous calculation of chord height of each set of adjacent points in the
point cloud. A MATLAB environment was used to build a proposed
simplification algorithm program. Then this program was applied using a
proposed case study. The result which was obtained from the application of the
proposed algorithm and surface fitting process for the proposed case study
proved the effectiveness of the proposed algorithm in data simplification. The
percent of data which was ignored as noisy data point was (24%) of the total
number of data point in applying the algorithm for two attempts.
3D laser scanner is one of the modern
technologies, which
used to
obtain the geometric information about the 3D scanned object surface.
But,
there are some
problems
that
are
associated with this technique such as the
huge number of obtained points
which
require high memory to save
and
the
required data processing processes.
Th
is paper proposed a data simplification
algorithm for point cloud of a
scanned obje
ct using 3D laser scanner (Matter
and Form) in a
manner to extract the necessary geometric features, which
are
represented by points for a 3D object. This algorithm based on
the
instantaneous calculation of chord height of each set of adjacent points in th
e
point cloud. A MATLAB environment was
used to build a proposed
simplification algorithm program
. Then
this program
was
appli
ed using a
proposed case study.
The result which was obtained from
the
application
of
the
proposed algorithm and surface fitting process for the proposed case study
proved the effectiveness of the proposed algorithm in data simplification.
The
percent of data which was ignored as noisy data point was (24%)
of the
total
number of data point in applying the algorithm for two attempts.

A New Method For Three Dimensional Cubic Bezier Surface Reconstruction Based On Matching The Surface Framework

Wissam K. Hamdan

Engineering and Technology Journal, 2010, Volume 28, Issue 8, Pages 1654-1671

Numerous efforts have been directed to convert the physical model ( in-hand
model) to a computer model. This work is dedicated for the cubic Bezier surface
reconstruction based on finding the positions of the sixteen control points that form the
surface of the product. The idea is based on inverse progressive search (IPS) method
rather than the approximate surface fitting method already used in previous researches.
The presented method is based on three successive steps:(a) converting the continuous
coordinate measuring machine (CMM) data to discrete data,(b) estimating the
positions of the 12 boundary control points and (c) estimating the positions of the 4
intermediate control points to generate the intended surface. To show the feasibility of
the suggested method two experimental examples are conducted. The results show the
validity and effectiveness of the method from the accuracy and computation time point
of view.