Volume XL-4/W5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W5, 183-187, 2015
https://doi.org/10.5194/isprsarchives-XL-4-W5-183-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W5, 183-187, 2015
https://doi.org/10.5194/isprsarchives-XL-4-W5-183-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  11 May 2015

11 May 2015

HIERARCHICAL REPETITION EXTRACTION FOR BUILDING FAÇADE RECONSTRUCTION FROM OBLIQUE AERIAL IMAGES

J. Zhang1, H. Yao2, W. Jiang1, and X. Shen3 J. Zhang et al.
  • 1State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Rd., Wuhan 430079, China
  • 2School of Educational Information Technology, Central China Normal University, 129 Luoyu Rd., Wuhan 430079, China
  • 3Collaborative Innovation Centre of Geospatial Technology, Wuhan University, 129 Luoyu Rd., Wuhan 430079, China

Keywords: Oblique aerial image, Building façade, Partition, Hierarchical repetition, Joint reconstruction

Abstract. In this paper we introduce an approach for automatic recognition and reconstruction of building facade structure from oblique aerial images. Contrast to street-view image oblique aerial image has larger field of view but lower resolution, weaker texture and more noise. To overcome these shortcomings, our approach firstly analyses the horizontal distribution density to extract individual facade area from image. Then a hierarchical repetition detection method is employed to partition the facade and recognize structural elements. Finally, the geometry structure of each facade element is reconstructed jointly by all repetitive image tiles. Results show the potentials of the proposed approach.