Full text: Papers accepted on the basis of peer-reviewed full manuscripts (Part A)

In: Paparoditis N., Pierrot-Deseilligny M.. Mallet C.. Tournaire O. (Eds). IAPRS. Vol. XXXVIII. Part ЗА - Saint-Mandé, France. September 1-3, 2010 
179 
Figure 7. The synthetic 3D point clouds 
Figure 7 is the synthetic point clouds; and figure 8 shows the 
extracted curved boundary by convex hull projection. 
Figure 8. Extracted boundary' by convex-hull projection 
4. CONCLUSION 
The proposed approach can be applied to the general large scale 
3D point data in an efficient way without any pre-processing. 
All the necessary data structures are well described for 
engineering purpose. By the experiment results, the basic 
geometry features which include planes and edges are extracted. 
Base on these extracted features, the points are colorized 
according to the plane normal and connected by corresponding 
convex-hull. These characteristic of each points cluster are 
additive information and capable for further application. 
Images Based on Scan Line Approximation. Computer Vision 
and Image Understanding, 2(73), pp. 183-199. 
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5. ACKNOLEDEMENTS 
The authors are grateful to the scanning assistance from the 
Strong Engineering Consulting Co, Ltd. This work is 
sponsored by the Ministry of Economics Affairs, Taiwan, with 
the project number: 98-EC-17-A-02-01-0809 
6. REFERENCES 
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