Advertisement

A Method of Mesh Simplification for Drone 3D Modeling with Architectural Feature Extraction

  • Chi-Li ChengEmail author
  • June-Hao Hou
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1028)

Abstract

This paper proposes a method of mesh simplification for 3D terrain or city models generated photogrammetrically from drone captured images, enabled by the ability of extracting the architectural features. Compare to traditional geometric computational method, the proposed method recognizes and processes the features from the architectural perspectives. In addition, the workflow also allows exporting the simplified models and geometric features to open platforms, e.g. OpenStreetMap, for practical usages in site analysis, city generation, and contributing to the open data communities.

Keywords

Mesh reconstruction Photogrammetry Mesh simplification Procedural mode Machine learning 

Notes

Acknowledgment

The research is partially supported by the Ministry of Science and Technology under Grant Number MOST 108-2634-F-009-013 through Pervasive Artificial Intelligence Research (PAIR) Labs, Taiwan

References

  1. Qing, W.Y., Philip, C.L., Chen, Z.T.: Efficient algorithm for the reconstruction of 3D objects from orthographic projections. Comput.-Aided Des. 26(9), 700–717 (1994)zbMATHGoogle Scholar
  2. Oddiviz: a collective that uses photogrammetry to document in three dimensions. https://www.oddviz.com/. Accessed 1 Dec 2018
  3. Wolin, A., Eoff, B., Hammound, T.: ShortStraw: a simple and effective corner finder for polylines. In: EUROGRAPHICS Workshop on Sketch-Based Interfaces and Modeling (2008)Google Scholar
  4. Lavoue, G., Wolf, C.: Markov random fields for improving 3D mesh analysis and segmentation (2008)Google Scholar
  5. Permuter, H., Francos, J., Jermyn, L.: A study of Gaussian mixture models of color and texture features for image classification and segmentation. Pattern Recognit. 39, 695–706 (2005)CrossRefGoogle Scholar
  6. Roberts, A., Marsh, A.: ECOTECT: environmental prediction in architectural education. In: 19th eCAADe Conference Proceedings of Architectural Information Management, Helsinki (Finland) 29–31 August 2001, pp. 342–347 (2010). ISBN 0-9523687-8-1Google Scholar
  7. Akdag, S.G., Cagdas, G., Guney, C.: Analyzing the changes of Bosphorus Silhouette, FUTURE CITIES [28th eCAADe Conference Proceedings/ ISBN 978-0-9541183-9-6] ETH Zurich (Switzerland) 15–18 September 2010, pp. 815–823 (2010)Google Scholar
  8. You, C.F., Yang, S.S.: Reconstruction of architectural model from orthographic drawings reconstruction of curvilinear manifold objects from orthographic views. Comput. Graph. 20(2), 275–280 (1996)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.National Chiao Tung UniversityHsinchuTaiwan

Personalised recommendations