Large object shape recovery from uncalibrated camera motion by non-linear optimization

Naoki Asada, Masayuki Mukunoki, Tsuyoshi Migita, Masahito Aoyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

3D recovery of object shape and camera motion from 2D image sequence is formulated as a non-linear optimization problem. Such a non-linear approach ensures the most precise solution, but it involves computational difficulties, i.e. complexity and instability. This paper describes a practical procedure to solve the non-linear optimization problem for object shape and camera motion recovery. First, we discuss the imaging model for large objects such as buildings; one shot and pseudo wide angle models, where the camera motion is modeled as a uniform motion along circular path with gazing at the center. Then, the generalized initial values for circular motion is proposed and "mean appearance ratio (MAR)" of feature points is defined as a measure of stability. Experimental results with synthetic images show that 3D recovery was stably performed from image sequences with MAR over 15%, quasi-stable with over 8.5% for one shot model, and stable with over 10.3%, quasi-stable with over 4. 4% for pseudo wide angle model. 3D shape and motion using real images were recovered successfully from MAR 17% for one shot model and 6% for pseudo wide angle one. These results have demonstrated the robustness of the generalized initial values and effectiveness of MAR for large object shape from uncalibrated camera motion problem.

Original languageEnglish
Title of host publicationSixth IASTED International Conference on Signal and Image Processing
EditorsM.H. Hamza
Pages151-156
Number of pages6
Publication statusPublished - 2004
EventSixth IASTED International Conference on Signal and Image Processing - Honolulu, HI, United States
Duration: Aug 23 2004Aug 25 2004

Other

OtherSixth IASTED International Conference on Signal and Image Processing
CountryUnited States
CityHonolulu, HI
Period8/23/048/25/04

Fingerprint

Cameras
Recovery
Imaging techniques

Keywords

  • 3d shape recovery
  • Circular motion
  • Imaging model
  • Initial values
  • Non-linear optimization
  • Uncalibrated camera

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Asada, N., Mukunoki, M., Migita, T., & Aoyama, M. (2004). Large object shape recovery from uncalibrated camera motion by non-linear optimization. In M. H. Hamza (Ed.), Sixth IASTED International Conference on Signal and Image Processing (pp. 151-156)

Large object shape recovery from uncalibrated camera motion by non-linear optimization. / Asada, Naoki; Mukunoki, Masayuki; Migita, Tsuyoshi; Aoyama, Masahito.

Sixth IASTED International Conference on Signal and Image Processing. ed. / M.H. Hamza. 2004. p. 151-156.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Asada, N, Mukunoki, M, Migita, T & Aoyama, M 2004, Large object shape recovery from uncalibrated camera motion by non-linear optimization. in MH Hamza (ed.), Sixth IASTED International Conference on Signal and Image Processing. pp. 151-156, Sixth IASTED International Conference on Signal and Image Processing, Honolulu, HI, United States, 8/23/04.
Asada N, Mukunoki M, Migita T, Aoyama M. Large object shape recovery from uncalibrated camera motion by non-linear optimization. In Hamza MH, editor, Sixth IASTED International Conference on Signal and Image Processing. 2004. p. 151-156
Asada, Naoki ; Mukunoki, Masayuki ; Migita, Tsuyoshi ; Aoyama, Masahito. / Large object shape recovery from uncalibrated camera motion by non-linear optimization. Sixth IASTED International Conference on Signal and Image Processing. editor / M.H. Hamza. 2004. pp. 151-156
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