Incremental procedure for recovering entire building shape from close range images

Migita Tsuyoshi, Amano Akira, Asada Naoki

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


This paper describes a method for recovering entire 3D shape of a building from an image sequence. This is a kind of “Shape and Motion recovery” problem in the computer vision field, whereas the conventional methods do not work well with the images taken around a large object in the near distance. Since such image sequence is a set of partial observations, the problem of 3D recovery becomes unstable. We first discuss the property of the local minima of the nonlinear optimization function, and then describe an incremental procedure to find the global minimum by avoiding the pseudo solutions. Experiments using the real images have shown that the proposed method successfully recovered the 3D shapes from eleven sets of image sequences.

Original languageEnglish
Pages (from-to)237-240
Number of pages4
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Issue number5W12
Publication statusPublished - 2003
Externally publishedYes
Event2003 International Workshop on Vision Techniques for Digital Architectural and Archaeological Archives - Portonovo - Ancona, Italy
Duration: Jul 1 2003Jul 3 2003


  • Close Range Image
  • Computer Vision
  • Incremental Processing
  • Urban Building Reconstruction

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development


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