Automobile Panel Reverse Engineering Design Based on NURBS Surface Reconstruction Technique

2011 ◽  
Vol 128-129 ◽  
pp. 1341-1344
Author(s):  
Hong Yuan Zhang ◽  
Peng He

This paper takes automobile panel as the study object, and adopts non-contact 3-D scanner to obtain the point cloud data of the automobile panel for point cloud data sampling and noise reduction processing. It obtains NURBS surface fitting through detecting of curvature and grid. Reverse design can improve the product prototype in a fast speed and provide an important way of automobile panel development.

2014 ◽  
Vol 697 ◽  
pp. 298-301
Author(s):  
Yong Qing Xia ◽  
Jie Zhang

Reverse engineering technology has been widely used in engineering design field. This paper proposed a CATIA-modeling-based reverse engineering technology for vehicle rear axle design. The general process for reverse engineering includes the pretreatment of the point cloud data, the establishment of the grid, the surface reconstruction of parts, the analysis of curved surface, and so on. Finally, the paper puted forward practical and feasible solution to the problem.


2013 ◽  
Vol 422 ◽  
pp. 89-93
Author(s):  
Xiao Ping Hu ◽  
Yun Feng Lin

The improved design of the form of product is related to the free-form surface treatment, but the use of the product which forms the point cloud data to obtain a satisfactory surface reconstruction is difficult. NURBS surface fitting technique, the appearance of the product first be classified according to form, and then accordingly the product shape reconstruction, it is much easier. Facts have proved that the conditions does not require high precision, the use of NURBS fitting to reconstruct the free surface able to obtain a satisfactory product form. This improved design of the product form is practical.


Author(s):  
Lindsay MacDonald ◽  
Isabella Toschi ◽  
Erica Nocerino ◽  
Mona Hess ◽  
Fabio Remondino ◽  
...  

The accuracy of 3D surface reconstruction was compared from image sets of a Metric Test Object taken in an illumination dome by two methods: photometric stereo and improved structure-from-motion (SfM), using point cloud data from a 3D colour laser scanner as the reference. Metrics included pointwise height differences over the digital elevation model (DEM), and 3D Euclidean differences between corresponding points. The enhancement of spatial detail was investigated by blending high frequency detail from photometric normals, after a Poisson surface reconstruction, with low frequency detail from a DEM derived from SfM.


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