Modelling cloud data using an adaptive slicing approach
| Autor: | Yoke San Wong, Y.F. Zhang, Yang Wu, Han Tong Loh |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Rapid prototyping
Reverse engineering Surface (mathematics) Computer science Real-time computing Point cloud computer.software_genre Computer Graphics and Computer-Aided Design Slicing Industrial and Manufacturing Engineering Computer Science Applications Loop (topology) Segmentation Layer (object-oriented design) Algorithm computer |
| Zdroj: | Computer-Aided Design. 36:231-240 |
| ISSN: | 0010-4485 |
| Popis: | In reverse engineering, the conventional surface modelling from point cloud data is time-consuming and requires expert modelling skills. One of the innovative modelling methods is to directly slice the point cloud along a direction and generate a layer-based model, which can be used directly for fabrication using rapid prototyping (RP) techniques. However, the main challenge is that the thickness of each layer must be carefully controlled so that each layer will yield the same shape error, which is within the given tolerance bound. In this paper, an adaptive slicing method for modelling point cloud data is presented. It seeks to generate a direct RP model with minimum number of layers based on a given shape error. The method employs an iterative approach to find the maximum allowable thickness for each layer. Issues including multiple loop segmentation in layers, profile curve generation, and data filtering, are discussed. The efficacy of the algorithm is demonstrated by case studies. |
| Databáze: | OpenAIRE |
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