Surveying and Mapping Caves by Using 3D Digital Technologies

  • Wei Ma
  • Hongbin Zha
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4270)


In this paper, we propose an original three-dimensional (3D) computer-aided approach for surveying and mapping caves to get line drawings. By introducing 3D digital technologies into the line drawing, our approach has advantages in improving the drawing accuracy while cutting a lot of time costs. The 3D digital technologies are used to reconstruct accurate 3D models of real scenes. Then, the lines on the model surfaces are extracted by analyzing the model geometry. To demonstrate the advantages, we compare our approach with the traditional method usually used by archaeologists. Results show that our approach is much more convenient and accurate than the previous method.


Line Drawing Crest Line Perspective Distortion Archaeological Worker Main Wall 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Yan, S., Fang, Y., Sun, B., Gao, H.: Influence of water permeation and analysis of treatment for the Longmen Grottoes. Geoscience 19, 475–478 (2005)Google Scholar
  2. 2.
    InnovMetric Software Inc.: Polyworks user’s guide (2001)Google Scholar
  3. 3.
    Davis, J., Marschner, S., Garr, M., Levoy, M.: Filling holes in complex surfaces using volumetric diffusion. In: The First International Symposium on 3D Data Processing Visualization and Transmission, pp. 19–21 (2002)Google Scholar
  4. 4.
    Jun, Y.: A piecewise hole filling algorithm in reverse engineering. Computer-Aided Design 37, 263–270 (2005)CrossRefGoogle Scholar
  5. 5.
    DeCarlo, D., Finkelstein, A., Rusinkiewicz, S., Santella, A.: Suggestive contours for conveying shapes. ACM Transactions on Graphics 22, 848–855 (2003)CrossRefGoogle Scholar
  6. 6.
    Yoshizawa, S., Belyaev, A., Seidel, H.: Fast and robust detection of crest lines on meshes. In: ACM Symposium on Solid and Physical Modeling, pp. 227–232 (2005)Google Scholar
  7. 7.
    Li, X., Feng, J., Zha, H.: 3D modelling of geological fossils and ores by combining high-resolution textures with 3D scanning data. In: The ninth International conference on Virtual Systems and Multimedia, pp. 686–693 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Wei Ma
    • 1
  • Hongbin Zha
    • 1
  1. 1.National Laboratory on Machine PerceptionPeking UniversityChina

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