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A Java3D framework for inspecting and segmenting 3D models
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3D technologies for the World Wide Web archive
Proceedings of the 13th international symposium on 3D web technology table of contents
Los Angeles, California
SESSION: Animation and geometry table of contents
Pages 67-74  
Year of Publication: 2008
ISBN:978-1-60558-213-9
Authors
Leila De Floriani  University of Genova, Genova, Italy
Laura Papaleo  University of Genova, Genova, Italy
Nicoló Carissimi  University of Genova, Genova, Italy
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

Models of 3D objects have become widely accessible in several disciplines within academia and industry, spanning from scientific visualization to entertainment. In the last few years, 3D models are often organized into digital libraries accessible over the network, and thus semantic annotation of such models becomes an important issue. A fundamental step in annotating a 3D model is to segment it into meaningful parts. In this work, we present a Java3D framework for inspecting and segmenting 3D objects represented in X3D format. In particular, we present a combination of segmentation and merging techniques for producing a feasible decomposition of the boundary of a 3D object. We represent such decomposition as a graph, that we call the segmentation graph which is the basis for semantic annotation. We describe also the interface we have developed to allow visualization and browsing of both the decomposition and the segmentation graph in order to understand the topological structure of the resulting decomposition.


REFERENCES

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1
2004--2007. The European Network of Excellence AIM@SHAPE - contract number 506766. http://www.aimatshape.net.
 
2
 
3
4
 
5
De Floriani, L., and Hui, A. 2007. A semantic-oriented decomposition for non-manifold shapes. In Proc. Israel-Italy Bi-National Conf. on Shape Modeling and Reasoning for Industrial and Biomedical Applications.
 
6
De Floriani, L., and Hui, A. 2007. Shape representations based on simplicial and cell complexes. In In State-of-the-art Report, Eurographics 2007.
 
7
De Floriani, L., Magillo, P., Puppo, E., and Sobrero, D. 2004. A multi-resolution topological representation for non-manifold meshes. Computer-Aided Design Journal 36, 2 (February), 141--159.
 
8
De Floriani, L., Hui, A., Papaleo, L., Huang, M., and Hendler, J. A. 2007. A semantic web environment for digital shapes understanding. In the International Conference on Semantic and Digital Media Technologies, Springer, Lecture Notes in Computer Science, 226--239.
 
9
De Floriani, L., Papaleo, L., and Hui, A. 2008. Geometrical and topological analysis of non-manifold shapes: Topmesh. Tech. Rep. DISI-TR-08-07, CS Department University of Genova.
 
10
 
11
2008. AIM@SHAPE digital shape workbench.dsw.aimatshape.net.
12
13
14
15
 
16
Gregory, A. D., State, A., Lin, M. C., Manocha, D., and Livingston, M. A. 1999. Interactive surface decomposition for polyhedral morphing. The Visual Computer 15, 9, 453--470.
 
17
Halaschek-Wiener, C., Schain, A., Golbeck, J., Grove, M., Parsia, B., and Hendler, J. 2005. A flexible approach for managing digital images on the semantic web. In International Workshop on Knowledge Markup and Semantic Annotation.
 
18
Halaschek-Wiener, C., Golbeck, J., Schain, A., Grove, M., Parsia, B., and Hendler, J. 2006. Annotation and provenance tracking in semantic web photo libraries. In International provenance and annotation workshop (IPAW).
 
19
2008. The java 3d api. java.sun.com/javase/technologies/desktop/java3d/.
 
20
Ji, Z., Liu, L., Chen, Z., and Wang, G. 2006. Easy mesh cutting. Computer Graphics Forum 25, 3 (Sept.), 283--292.
 
21
 
22
 
23
Lavou, G., Dupont, F., and Baskurt, A. 2005. A new CAD mesh segmentation method, based on curvature tensor analysis. Computer Aided Design 37, 10, 975--987.
 
24
25
 
26
Liu, R., and Zhang, H. 2007. Mesh segmentation via spectral embedding and contour analysis. Computer Graphics Forum (Special Issue of Eurographics 2007) 26, 385--394.
 
27
Lloyd, S. 1982. Least squares quantization in pcm. Information Theory, IEEE Transactions on 28, 2, 129--137.
 
28
 
29
Shamir, A. 2008. A survey on mesh segmentation techniques. Computer Graphics Forum.
 
30
Sheffer, A. 2001. Model simplification for meshing using face clustering. Computer-Aided Design 33, 13 (Nov.), 925--934.
 
31
Sun, Y., Page, D., and Paik, J. 2002. Triangle mesh-based edge detection and its application to surface segmentation and adaptive surface smoothing. In IEEE International Conference on Image Processing, 825--828.
 
32
Wu, J., and Kobbelt, L. 2005. Structure recovery via hybrid variational surface approximation. Computer Graphics Forum 24, 3, 277--284.
 
33
2008. The web3d consortiumi. http://www.web3d.org/.
 
34
 
35
Zöckler, M., Stalling, D., and Hege, H.-C. 2000. Fast and intuitive generation of geometric shape transitions. The Visual Computer 16, 5, 241--253.

Collaborative Colleagues:
Leila De Floriani: colleagues
Laura Papaleo: colleagues
Nicoló Carissimi: colleagues