inlier

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inlier

[′in‚lī·ər]
(geology)
A circular or elliptical area of older rocks surrounded by strata that are younger.
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On the basis of this discovery, we propose a statistic filter of feature space displacement (SFFSD) to remove the outliers and retain the inliers as shown in Algorithm 2.
Features within a threshold will then be taken as inliers and features outside the threshold will be outliers.
From this test, the total of feature points detected and inliers per image increases with the increment of base sigma [[sigma].sub.0] value as shown in Figure 4.
* parameters determining the extent to which data are correct (inliers),
Geochronology of Proterozoic basement inliers in the Colombian Andes: tectonic history of remnants of a fragmented Grenville belt.
Therefore a concave hull is wrapped around the SUSAN keypoints and inliers from the Harris keypoints are added to the SUSAN keypoints.
Given that infit refers to response patterns that do not fit the expectations for inliers (i.e., the subjects to whose ability levels the difficulty of the items was targeted), results of the morpho-syntactic comprehension test for the sample indicated that the group of items did not reveal discrepancies in the difficulty values of each item when targeted on the estimated abilities of subjects.
It is applied to find optimal inliers that can used to compute the homography matrix.
Further geochronological works reinforce the notion of a magmatic and metamorphic peak at around 480-460 Ma in the basement inliers scattered along the western border of the Calchaqui Valley and in the eastern Puna, between latitudes 24[degrees] and 27[degrees] S (Haschke et al., 2005; Viramonte et al., 2007; Einhorn, 2010; Sola et al., 2010; Hauser et al., 2011).
On each box, the central mark denotes the median value, the box denotes values within the 25 to 75 percentile, and the whiskers extend to the most extreme data considered inliers.
The number of iterations for a single repetition depends on the percentage of inliers, probability and the minimum number of points that mathematically describe the object model.
This can be done, among others, by morphological postprocessing as suggested in [10, 27] which include opening, erosion, and dilatation operations; a sliding window as in [15, 23]; a square kernel mean filter as in [61]; and the RANdom SAmple consensus (RANSAC) algorithm as in [21] that identifies inliers and removes outliers.