Conference paper
Affine reconstruction from monocular vision in the presence of a symmetry plane
Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.476-482 vol.1
IEEE
7th IEEE International Conference on Computer Vision (ICCV'99) (Kerkyra, Greece, 20/09/1999–27/09/1999)
1999
Abstract
This paper reports a closed-form solution for reconstructing a scene up to an affine transformation from a single image in the presence of a symmetry plane. Unlike scene reconstruction in stereo vision, the affine reconstruction process discussed in this paper does not require any knowledge about camera parameters or camera orientation relative to the scene, so camera self-calibration is totally eliminated. By setting in the scene a plane mirror which creates lateral symmetric world points for an uncalibrated, perspective camera to capture, the linear equations involved in the reconstruction process can be derived from two sets of similar triangles. The affine reconstruction is relative to an arbitrary affine coordinated frame implicitly defined on the mirror plane. Also involved in the process are the estimation of the epipole and recovery of the image-to-mirror plane homography. Implementation on estimating the epipole is detailed. A real experiment is presented to demonstrate the reconstruction.
Details
- Title
- Affine reconstruction from monocular vision in the presence of a symmetry plane
- Authors/Creators
- D.Q. Huynh (Author/Creator)
- Publication Details
- Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.476-482 vol.1
- Conference
- 7th IEEE International Conference on Computer Vision (ICCV'99) (Kerkyra, Greece, 20/09/1999–27/09/1999)
- Publisher
- IEEE
- Identifiers
- 991005542324507891
- Copyright
- 1999 IEEE
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Conference paper
- Note
- Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This paper appears in: Proceedings of the IEEE International Conference on Computer Vision Volume 1, 1999, Pages 476-482
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