✦ LIBER ✦

Residual-Based robust estimation and image-motion analysis

✍ Scribed by Xinhua Zhuang; Yunxin Zhao; Thomas S. Huang

Publisher: John Wiley and Sons
Year: 1990
Tongue: English
Weight: 705 KB
Volume: 2
Category: Article
ISSN: 0899-9457
DOI: 10.1002/ima.1850020411

No coin nor oath required. For personal study only.

✦ Synopsis

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 30-3D (or rangerange) 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 many mismatched corresponding point pairs (or outliers) occur. The article represents an initial effort towards robust image-motion analysis.

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