Segmentation of the Measured Point Data in Reverse Engineering

2002 ◽  
Vol 20 (8) ◽  
pp. 571-580 ◽  
Author(s):  
H.-C. Kim ◽  
S.-M. Hur ◽  
S.-H. Lee
Keyword(s):  
Reverse Engineering ◽  
Point Data

scholarly journals Reverse Engineering Representation Using an Image Processing Modification

2019 ◽  
Vol 15 (1) ◽  
pp. 56-62
Author(s):  
Ahmed A. A. Duroobi ◽  
Nareen Hafidh Obaeed ◽  
Safaa Kadhim Ghazi
Keyword(s):  
Reverse Engineering ◽  
Handling Time ◽  
Data Handling ◽  
Milling Machine ◽  
Control Points ◽  
Cnc Milling ◽  
Work Program ◽  
Cnc Milling Machine ◽  
Point Data ◽  
Original Part

In the reverse engineering approach, a massive amount of point data is gathered together during data acquisition and this leads to larger file sizes and longer information data handling time. In addition, fitting of surfaces of these data point is time-consuming and demands particular skills. In the present work a method for getting the control points of any profile has been presented. Where, many process for an image modification was explained using Solid Work program, and a parametric equation of the profile that proposed has been derived using Bezier technique with the control points that adopted. Finally, the proposed profile was machined using 3-aixs CNC milling machine and a compression in dimensions process has been occurred between the proposed and original part so as to demonstrate the verification of the proposed method.

A Method to Center Extraction of Reference Point Algorithm in Reverse Engineering

2010 ◽  
Vol 142 ◽  
pp. 214-218
Author(s):  
Xiang Qian Che ◽  
Jun Ting Cheng ◽  
Sheng Bing Xiao ◽  
Jia Jun Ma
Keyword(s):  
Reverse Engineering ◽  
Computational Efficiency ◽  
Reference Point ◽  
Base Point ◽  
Recognition Algorithm ◽  
Reference Points ◽  
New Method ◽  
Sequential Algorithm ◽  
Object Surface ◽  
Point Data

In reverse engineering, in order to get the entire point data of the object surface, which must be merged from point data cloud obtained from different angles. And in order to acquire exactly merge effect, a method to stick reference points on object surface to acquire base point. Thus, the precision of center extraction of reference point affect the merge result. Firstly a new method to center extraction of reference point is presented based on the characteristics to the images in reverse engineering in this paper. And the new method is that the region recognition algorithm combining to least squares algorithm. Secondly, in order to improve the computational efficiency, the modified sequential algorithm is applied to optimize the region recognition. Lastly, the availability and accuracy to the new method are proved by the experiment.

Automated segmentation of point data in a feature-based reverse engineering system

2002 ◽  
Vol 216 (3) ◽  
pp. 445-451 ◽  
Author(s):  
S Park ◽  
Y Jun
Keyword(s):  
Reverse Engineering ◽  
Region Growing ◽  
Engineering System ◽  
Robust Segmentation ◽  
Single Feature ◽  
Angle Deviation ◽  
Feature Based ◽  
Point Data ◽  
Artificial Neural Network Ann ◽  
Deviation Criterion

This paper proposes a novel methodology for robust segmentation of scanned point data that has been implemented in the feature-based reverse engineering system (FBRES). In the proposed method, firstly triangle meshes are generated from the input point data. The normal and the area of generated meshes are checked to find boundary meshes using the angle deviation criterion and the area criterion based upon a region-growing technique. Boundary meshes of each segmented region are connected into loops. Then, the meshes closed by each boundary loop are segmented into a single distinctive region. Finally, all segmented regions are mapped into a single feature using an artificial neural network (ANN) based feature recognizer. The FBRES is currently dedicated for reconstructing prismatic features such as a block, pocket, step, slot, hole and boss, which are very common and crucial in mechanical engineering products. The effectiveness of the proposed segmentation method is validated with experimental results.

Data Reduction Based on Bi-Directional Point Cloud Slicing for Reverse Engineering

2010 ◽  
Vol 437 ◽  
pp. 492-496 ◽  
Author(s):  
Lei Chen ◽  
Zhuang De Jiang ◽  
Bing Li ◽  
Jian Jun Ding ◽  
Fei Zhang
Keyword(s):  
Reverse Engineering ◽  
Data Reduction ◽  
Point Cloud ◽  
Free Form ◽  
Cad Model ◽  
Dense Point ◽  
Long Time ◽  
Point Data ◽  
Data Reduction Method ◽  
Method Point

In reverse engineering, complex free-form shaped parts are usually digitized quickly and accurately using the newly arisen non-contact measuring methods. However, they produce extremely dense point data at great rate. Not all the point data are necessary for generating a surface CAD model. Moreover, owing to inefficiencies in storing and manipulating them it takes a long time to generate a surface CAD model from the measured data. Therefore, an important task is to reduce the large amount of data. After analyzing the existing methods developed by other researchers, a new data reduction method, which based on bi-directional point cloud slicing, is presented in this paper. Using the proposed method, point cloud can be reduced while considering geometric features in both two parametric directions. Finally, a face model is used to verify the effectiveness of the proposed method and experimental results are given.

Extracting the Features Point Data Based on the FE and RE Softwares

2011 ◽  
Vol 462-463 ◽  
pp. 1062-1067
Author(s):  
Hong Jiang ◽  
Wen Lei Sun ◽  
Mamtimin Gheni ◽  
Yong Fang Shi
Keyword(s):  
Reverse Engineering ◽  
Surface Modeling ◽  
Hybrid Modeling ◽  
Secondary Development ◽  
Forward Engineering ◽  
Point Data ◽  
Simple Surface

In view of the bottleneck of the interfaces between Forward Engineering (FE) and Reverse Engineering (RE) softwares, the method of extracting feature for hybrid modeling of FE and RE is attempted to present based on secondary development for UG NX by using VC++. The method is proved through two simple surface modeling.

Reverse Engineering and 3D Printing Technology's Application in Sculpture and the Restoration

2015 ◽  
Vol 713-715 ◽  
pp. 2556-2559
Author(s):  
Shi Gang Wang ◽  
Fan Song Meng ◽  
Bo Qu
Keyword(s):  
3D Printing ◽  
Reverse Engineering ◽  
3D Scanning ◽  
3D Printer ◽  
Hole Filling ◽  
3D Printing Technology ◽  
Engineering Software ◽  
Error Ratio ◽  
Point Data ◽  
Surface Repair

To elucidate the mechanism that the software Gemagic Studio and 3D printer have an important role in repairing and copying the ancient cultural relics and the damaged sculpture, we take the damaged sculpture, Sissi, as the example, repaired it based on reverse engineering, 3D scanning technology and modern 3D printing technology. In the process of research, we obtain the point data of it, using reverse engineering software Gemagic Studio for the noise removing, compaction, hole filling, surface repair, error ratio and so on. And then import the 3D printer for 3D printing. At the last, the precise entity model proved that we have a wonderful experiment.

Interactive Feature Modeling for Reverse Engineering

2006 ◽  
Vol 6 (4) ◽  
pp. 422-424 ◽  
Author(s):  
K. Schreve ◽  
C. L. Goussard ◽  
A. H. Basson ◽  
D. Dimitrov
Keyword(s):  
Feature Extraction ◽  
Reverse Engineering ◽  
Feature Modeling ◽  
Free Form ◽  
Modeling Tools ◽  
Draft Angle ◽  
Feature Based ◽  
Nurbs Surfaces ◽  
Point Data ◽  
Interactive Feature

In feature based reverse engineering entities, or features, having higher level engineering meaning are used to approximate point data. This is in contrast to approximating the data with free form NURBS surfaces. Currently no such system is operationally available. Interactive feature based modeling tools for feature extraction, edge detection, and draft angle approximation are presented here. Several case studies demonstrate the application of these algorithms.

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