Shape reconstruction in projective grid space from large number of images

Hideo Saito, Takeo Kanade

Research output: Chapter in Book/Report/Conference proceedingChapter

65 Citations (Scopus)

Abstract

This paper proposes a new scheme for multi-image projective reconstruction based on a projective grid space. The projective grid space is defined by two basis views and the fundamental matrix relating these views. Given fundamental matrices relating other views to each of the two basis views, this projective grid space can be related to any view. In the projective grid space as a general space that is related to all images, a projective shape can be reconstructed from all the images of weakly calibrated cameras. The projective reconstruction is one way to reduce the effort of the calibration because it does not need Euclid metric information, but rather only correspondences of several points between the images. For demonstrating the effectiveness of the proposed projective grid definition, we modify the voxel coloring algorithm for the projective voxel scheme. The quality of the virtual view images re-synthesized from the projective shape demonstrates the effectiveness of our proposed scheme for projective reconstruction from a large number of images.

Original languageEnglish
Title of host publicationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PublisherIEEE
Pages49-54
Number of pages6
Volume2
Publication statusPublished - 1999
Externally publishedYes
EventProceedings of the 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99) - Fort Collins, CO, USA
Duration: 1999 Jun 231999 Jun 25

Other

OtherProceedings of the 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99)
CityFort Collins, CO, USA
Period99/6/2399/6/25

Fingerprint

Coloring
Image reconstruction
Cameras
Calibration

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Software
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Saito, H., & Kanade, T. (1999). Shape reconstruction in projective grid space from large number of images. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vol. 2, pp. 49-54). IEEE.

Shape reconstruction in projective grid space from large number of images. / Saito, Hideo; Kanade, Takeo.

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2 IEEE, 1999. p. 49-54.

Research output: Chapter in Book/Report/Conference proceedingChapter

Saito, H & Kanade, T 1999, Shape reconstruction in projective grid space from large number of images. in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. vol. 2, IEEE, pp. 49-54, Proceedings of the 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99), Fort Collins, CO, USA, 99/6/23.
Saito H, Kanade T. Shape reconstruction in projective grid space from large number of images. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2. IEEE. 1999. p. 49-54
Saito, Hideo ; Kanade, Takeo. / Shape reconstruction in projective grid space from large number of images. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2 IEEE, 1999. pp. 49-54
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