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Residual-Based Robust Estimation and Image-Motion Analysis.
- Source :
- International Journal of Imaging Systems & Technology; Winter90, Vol. 2 Issue 4, p371-379, 9p
- Publication Year :
- 1990
-
Abstract
- We explain that the task of multiple rigid motion segmentation and estimation from image feature point correspondences demands an estimator of high robustness. We show that a heuristics-based partial modeling approach can be used to develop a highly robust estimator called the MF estimator for general regression, where ‘MF’ represents an abbreviation of Model Fitting. Finally, we provide experimental results in estimating single rigid motion from a mixture of 2D-2D (or image-image), 3D-2D (or range-image), and 3D-3D (or range-range) corresponding point data by using the proposed MF estimator. As will be seen. only four well matched corresponding point pairs are needed to get a good estimate of motion parameters no matter how m(my mismatched corresponding point pairs (or outliers) occur. The article represents an initial effort towards robust image-motion analysis. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08999457
- Volume :
- 2
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- International Journal of Imaging Systems & Technology
- Publication Type :
- Academic Journal
- Accession number :
- 14180612
- Full Text :
- https://doi.org/10.1002/ima.1850020411