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Author Goshen, Liran ♦ Shimshoni, Ilan
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Sample Generation ♦ Weak Motion Model ♦ Automatic Robust Estimation ♦ Real Image ♦ Ransac Process ♦ Significant Deformation ♦ Guided Sampling ♦ Large Rotation ♦ Mixture Model ♦ False Match ♦ Search Process ♦ Wide Baseline ♦ Accelerated Algorithm ♦ Geometric Distance ♦ Epipolar Geometry ♦ High Percentage ♦ Epipolar Geometry Estimation
Description In Proceedings of the CVPR
The problem of automatic robust estimation of the epipolar geometry in cases where the correspondences are contaminated with a high percentage of outliers is addressed. This situation often occurs when the images have undergone a significant deformation, either due to large rotation or wide baseline of the cameras. An accelerated algorithm for the identification of the false matches between the views is presented. The algorithm generates a set of weak motion models (WMMs). Each WMM roughly approximates the motion of correspondences from one image to the other. The algorithm represents the distribution of the median of the geometric distances of a correspondence to the WMMs as a mixture model of outlier correspondences and inlier correspondences. The algorithm generates a sample of outlier correspondences from the data. This sample is used to estimate the outlier rate and to estimate the outlier pdf. Using these two pdfs the probability that each correspondence is an inlier is estimated. These probabilities enable guided sampling. In the RANSAC process this guided sampling accelerates the search process. The resulting algorithm when tested on real images achieves a speedup of between one or two orders of magnitude. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2005-01-01