Shape reconstruction in projective grid space from large number of images

Hideo Saito, Takeo Kanade

研究成果: Chapter

65 引用 (Scopus)

抄録

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.

元の言語English
ホスト出版物のタイトルProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
出版者IEEE
ページ49-54
ページ数6
2
出版物ステータスPublished - 1999
外部発表Yes
イベントProceedings of the 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'99) - Fort Collins, CO, USA
継続期間: 1999 6 231999 6 25

Other

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

Fingerprint

Coloring
Image reconstruction
Cameras
Calibration

ASJC Scopus subject areas

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

これを引用

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

研究成果: Chapter

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