IEICE TRANSACTIONS on Information
Motion and Shape from Sequences of Images under Feature Correspondences
Summary :
The reconstruction of motion and structure from multiple images is fundamental and important problem in computer vision. This paper highlights the recovery of the camera motion and the object shape under some camera projection model from feature correspondences especially the epipolar geometry and the factorization method for mainly used projection models.
- Publication
- IEICE TRANSACTIONS on Information Vol.E82-D No.3 pp.548-557
- Publication Date
- 1999/03/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- INVITED SURVEY PAPER
- Category
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Jun FUJIKI, "Motion and Shape from Sequences of Images under Feature Correspondences" in IEICE TRANSACTIONS on Information,
vol. E82-D, no. 3, pp. 548-557, March 1999, doi: .
Abstract: The reconstruction of motion and structure from multiple images is fundamental and important problem in computer vision. This paper highlights the recovery of the camera motion and the object shape under some camera projection model from feature correspondences especially the epipolar geometry and the factorization method for mainly used projection models.
URL: https://global.ieice.org/en_transactions/information/10.1587/e82-d_3_548/_p
Copy
@ARTICLE{e82-d_3_548,
author={Jun FUJIKI, },
journal={IEICE TRANSACTIONS on Information},
title={Motion and Shape from Sequences of Images under Feature Correspondences},
year={1999},
volume={E82-D},
number={3},
pages={548-557},
abstract={The reconstruction of motion and structure from multiple images is fundamental and important problem in computer vision. This paper highlights the recovery of the camera motion and the object shape under some camera projection model from feature correspondences especially the epipolar geometry and the factorization method for mainly used projection models.},
keywords={},
doi={},
ISSN={},
month={March},}
Copy
TY - JOUR
TI - Motion and Shape from Sequences of Images under Feature Correspondences
T2 - IEICE TRANSACTIONS on Information
SP - 548
EP - 557
AU - Jun FUJIKI
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E82-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 1999
AB - The reconstruction of motion and structure from multiple images is fundamental and important problem in computer vision. This paper highlights the recovery of the camera motion and the object shape under some camera projection model from feature correspondences especially the epipolar geometry and the factorization method for mainly used projection models.
ER -
English
