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Erschienen in:
2013 | OriginalPaper | Buchkapitel
The Development of Estimating Deviations Directly from Point Clouds
verfasst von : Cheng-Tiao Hsieh
Erschienen in: Intelligent Technologies and Engineering Systems
Verlag: Springer New York
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Abstract
A novel concept of computer graphics, point-based graphics, has grasped researchers’ attentions in this decade. In 2000, the point rendering system QSplat was developed by a Stanford research team. It had successfully solved the rendering problem of point clouds. This has made point clouds very potential in 3D related computational applications, especially the applications in 3D scanning. For exploring advanced, possible, and practical applications of point clouds, this chapter proposed two methods for estimating deviations of two point clouds directly. The proposed methods are the Nearest Point method and the Neighborhood method. They were developed based on the Kd-tree structure and the concept of neighbor clusters. Those methods did not involve a complicated surface reconstruction, so they can be implemented to perform a virtual inspection efficiently.