Outlier correction from uncalibrated image sequence using the Triangulation method
SCIE
SCOPUS
- Title
- Outlier correction from uncalibrated image sequence using the Triangulation method
- Authors
- Kim, JH; Han, JH
- Date Issued
- 2006-03
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Abstract
- We propose a robust algorithm for estimating the projective reconstruction from image features using the RANSAC-based Triangulation method. In this method, we select input points randomly, separate the input points into inliers and outliers by computing their reprojection error, and correct the outliers so that they can become inliers. The reprojection error and correcting outliers are computed using the Triangulation method. After correcting the outliers, we can reliably recover projective motion and structure using the projective factorization method. Experimental results showed that errors can be reduced significantly compared to the previous research as a result of robustly estimated projective reconstruction. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
- Keywords
- projective reconstruction; factorization; RANSAC; robust estimation; outlier
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/24214
- DOI
- 10.1016/j.patcog.2005.07.008
- ISSN
- 0031-3203
- Article Type
- Article
- Citation
- PATTERN RECOGNITION, vol. 39, no. 3, page. 394 - 404, 2006-03
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- There are no files associated with this item.
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