Research and implementation from point cloud to 3D model

In order to cope with the problems of disfluency and slow respondence of computer when processing large volume of point cloud, the paper proposes an solution based on virtual memory technology, valid data structure, effective algorithms and OpenGL technology and so on to quickly and accurately build...

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Bibliographic Details
Main Authors: Ruiju Zhang, Yanmin Wang, Daixue Song
Format: Conference Proceeding
Language:English
Subjects:
3D model
data structure
Data structures
denoising
Design engineering
feature extraction
Image reconstruction
Laser modes
Memory management
object oriented
Object oriented modeling
point cloud
reconstruction
segmentation
Three-dimensional displays
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Summary:In order to cope with the problems of disfluency and slow respondence of computer when processing large volume of point cloud, the paper proposes an solution based on virtual memory technology, valid data structure, effective algorithms and OpenGL technology and so on to quickly and accurately build 3d model. The above research is implemented by VC++ 6.0 program language and OpenGL 3D graphic library on Windows XP platform based object-oriented method. Point cloud acquired by laser scanner inside an old architecture is used as test data. Practices prove that the solution brought forward in the paper does well.
DOI:10.1109/ICCMS.2010.236