Point set registration and Rigid transformation

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Point set registration and Rigid transformation

Point set registration vs. Rigid transformation

In computer vision and pattern recognition, point set registration, also known as point matching, is the process of finding a spatial transformation that aligns two point sets. In mathematics, a rigid transformation or Euclidean isometry of a Euclidean space preserves distances between every pair of points.

Similarities between Point set registration and Rigid transformation

Point set registration and Rigid transformation have 3 things in common (in Unionpedia): Affine transformation, Euclidean distance, Translation (geometry).

Affine transformation

In geometry, an affine transformation, affine mapBerger, Marcel (1987), p. 38.

Affine transformation and Point set registration · Affine transformation and Rigid transformation · See more »

Euclidean distance

In mathematics, the Euclidean distance or Euclidean metric is the "ordinary" straight-line distance between two points in Euclidean space.

Euclidean distance and Point set registration · Euclidean distance and Rigid transformation · See more »

Translation (geometry)

In Euclidean geometry, a translation is a geometric transformation that moves every point of a figure or a space by the same distance in a given direction.

Point set registration and Translation (geometry) · Rigid transformation and Translation (geometry) · See more »

The list above answers the following questions

What Point set registration and Rigid transformation have in common
What are the similarities between Point set registration and Rigid transformation

Point set registration and Rigid transformation Comparison

Point set registration has 57 relations, while Rigid transformation has 26. As they have in common 3, the Jaccard index is 3.61% = 3 / (57 + 26).

References

This article shows the relationship between Point set registration and Rigid transformation. To access each article from which the information was extracted, please visit:

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