An automatic data segmentation method for 3D measured data points in reverse engineering

The Research of Data Points Quality Assessment Method in Reverse Engineering

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.419-420.445 ◽

2009 ◽

Vol 419-420 ◽

pp. 445-448 ◽

Cited By ~ 2

Author(s):

Jun Ting Cheng ◽

Wei Ling Zhao ◽

Can Zhao ◽

Xue Dong Xie

Keyword(s):

Reverse Engineering ◽

Data Quality ◽

Quality Assessment ◽

Assessment Method ◽

Measured Data ◽

Quality Data ◽

Data Quality Assessment ◽

Quality Assessment Method ◽

Data Points ◽

Data Point

In the field of reverse engineering, data quality assessment is a very important work in the detection, the result of data quality assessment will directly or indirectly affect the detection and the following manufacturing process quality. Data quality assessment can be used in the camera calibration, the model and model reconstruction comparison, and so on. In this paper, on the basis of the existing method of calculating each point error, and multipurpose use of average and standard error and some other concepts of mathematical statistics, and then improve a novel and simple calculating error method. This method is applicable to many groups of one-to-one ideal data and the measured data comparison, and it can be more intuitive to reflect the error of overall data, as well as the error distribution, and it can be more efficient to determine the measured data is reasonable or not. In this paper, the data point quality which is collected in the reverse engineering is assessed, and it can see that the method which is proposed in this article has some advantages in the data point quality assessment field.

Upward continuation of scattered potential field data

Geophysics ◽

10.1190/1.1444549 ◽

1999 ◽

Vol 64 (2) ◽

pp. 443-451 ◽

Cited By ~ 10

Author(s):

Maurizio Fedi ◽

Antonio Rapolla ◽

Guido Russo

Keyword(s):

Linear Combination ◽

Computation Time ◽

Measured Data ◽

Potential Field Data ◽

Zero Level ◽

Local Character ◽

Upward Continuation ◽

Data Points ◽

The Stability ◽

Variable Topography

Numerous methods have been used for upward continuation, but most of them require data on a regular grid. Gridding can introduce errors that affect the continued data in an unpredictable way. To avoid this problem, we design a continuation operator used for the direct continuation of scattered data on a 3-D basis. In this approach a harmonic function, satisfying the constraints imposed by the measured data, is developed. The continuation is written in the form of a linear combination of the measured data, but it depends on the arbitrary choice of the topographic zero level. However, the coefficients of the linear combination depend only on the position of the data points. This allows the zero level to be estimated on the basis of the continuation of synthetic anomalies calculated between the starting and ending surface. An important feature of the method is its local character, which allows the reduction of computation time. Also, the stability of the method for noisy data is reasonably good. The method is applied to both synthetic and real cases. Synthetic examples show how gridding‐related errors may affect the continuation when an irregular distribution of data points and a variable topography are considered.

Sphericity Evaluation Based on Minimum Circumscribed Sphere Method

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.433-440.3146 ◽

2012 ◽

Vol 433-440 ◽

pp. 3146-3151 ◽

Cited By ~ 2

Author(s):

Fan Wu Meng ◽

Chun Guang Xu ◽

Juan Hao ◽

Ding Guo Xiao

Keyword(s):

Convex Hull ◽

Early Stage ◽

Measured Data ◽

Efficient Approach ◽

Critical Data ◽

Material Condition ◽

Data Points ◽

Point Set ◽

Data Point

The search of sphericity evaluation is a time-consuming work. The minimum circumscribed sphere (MCS) is suitable for the sphere with the maximum material condition. An algorithm of sphericity evaluation based on the MCS is introduced. The MCS of a measured data point set is determined by a small number of critical data points according to geometric criteria. The vertices of the convex hull are the candidates of these critical data points. Two theorems are developed to solve the sphericity evaluation problems. The validated results show that the proposed strategy offers an effective way to identify the critical data points at the early stage of computation and gives an efficient approach to solve the sphericity problems.

Probe-radius compensation for 3D data points in reverse engineering

Computers in Industry ◽

10.1016/s0166-3615(02)00038-6 ◽

2002 ◽

Vol 48 (3) ◽

pp. 241-251 ◽

Cited By ~ 35

Author(s):

Shuh-Ren Liang ◽

Alan C. Lin

Keyword(s):

Reverse Engineering ◽

Probe Radius ◽

3D Data ◽

Data Points ◽

Probe Radius Compensation ◽

Radius Compensation

Time-resolved MR imaging by automatic data segmentation

Journal of Magnetic Resonance Imaging ◽

10.1002/jmri.1880040217 ◽

1994 ◽

Vol 4 (2) ◽

pp. 189-196 ◽

Cited By ~ 21

Author(s):

Jill O. Fredrickson ◽

Norbert J. Pelc

Keyword(s):

Mr Imaging ◽

Time Resolved ◽

Automatic Data ◽

Data Segmentation

A Study on Information Data Segmentation Method Using Optimization Algorithm

Journal of Korean institute of intelligent systems ◽

10.5391/jkiis.2018.28.4.321 ◽

2018 ◽

Vol 28 (4) ◽

pp. 321-327

Author(s):

Young-Hun Jang ◽

Jin-Yul Kim ◽

Sung-Kwun Oh

Keyword(s):

Optimization Algorithm ◽

Segmentation Method ◽

Data Segmentation

Reverse engineering of complex surfaces based on a new hierarchical segmentation method

10.1117/12.162125 ◽

1993 ◽

Cited By ~ 5

Author(s):

Pierre Boulanger

Keyword(s):

Reverse Engineering ◽

Segmentation Method ◽

Complex Surfaces ◽

Hierarchical Segmentation

Reverse Engineering of Mechanical Parts: A Brief Overview of Existing Approaches and Possible New Strategies

Volume 1B: 36th Computers and Information in Engineering Conference ◽

10.1115/detc2016-59242 ◽

2016 ◽

Cited By ~ 2

Author(s):

Francesco Buonamici ◽

Monica Carfagni

Keyword(s):

Reverse Engineering ◽

A Priori ◽

Reconstruction Process ◽

Mechanical Parts ◽

Cad System ◽

Software Packages ◽

Geometrical Constraints ◽

Cad Models ◽

Data Points ◽

New Strategies

Reverse Engineering (RE), also known as “CAD reconstruction”, aims at the reconstruction of 3D geometric models of objects/mechanical parts, starting from 3D measured data (points/mesh). In recent years, considerable developments in RE were achieved thanks to both academic and industrial research (e.g. RE software packages). The aim of this work is to provide an overview of state of the art techniques and approaches presented in recent years (considering at the same time tools and methods provided by commercial CAD software and RE systems). In particular, this article focuses on the “constrained fitting” approach, which considers geometrical constraints between the generated surfaces, improving the reconstruction result. On the basis of the overview, possible theoretical principles are drafted with the aim of suggest new strategies to make the CAD reconstruction process more effective in order to obtain more ready/usable CAD models. Finally, a new RE framework is briefly outlined: the proposed approach hypothesizes a tool built within the environment of an existing CAD system and considers the fitting of a custom-built archetypal model, defined with all the a-priori known dimensions and constraints, to the scanned data.

A Novel Algorithm for Image Data Segmentation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.971-973.1499 ◽

2014 ◽

Vol 971-973 ◽

pp. 1499-1503

Author(s):

Zuo Wei Huang ◽

Shu Guang Wu ◽

Tao Xin Zhang

Keyword(s):

Spatial Information ◽

Rapid Development ◽

Image Data ◽

Segmentation Method ◽

Mountainous Areas ◽

Shape Information ◽

Data Segmentation ◽

Merging Procedure ◽

Spatial Information Technology ◽

Novel Algorithm

With the rapid development of spatial information technology and the increasingly artificial intelligence knowledge, MAS plays a more and more important role in conducting image segmentation.Considering the shortcomings of current segmentation method,a new algorithm based on MAS theory is proposed, It combines spectral and shape information in region merging.employer a number of agents to control the merging procedure in different regions and make the global merging control more optimal by utilizing the advantages of MAS,The results show that the algorithm is very effective for image segmentation both in urban and mountainous areas.

Optimization of Reverse Engineering Data for Regeneration of Triangular Mesh

10.32920/ryerson.14648580.v1 ◽

2021 ◽

Author(s):

Ashish Deb

Keyword(s):

Artificial Intelligence ◽

Genetic Algorithm ◽

Reverse Engineering ◽

Surface Reconstruction ◽

Mesh Generation ◽

Triangular Mesh ◽

Popular Method ◽

Engineering Data ◽

Simple Genetic Algorithm ◽

Data Points

Surface reconstruction of 3D reverse engineering data through the application of a triangulated mesh is a popular method. This thesis proposes a new simple genetic algorithm, an artificial intelligence method, to optimize triangular mesh generation which reduces the number of data points required to depict an object without sacrificing the details and accuracy.