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Gaussian function and Point set registration

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

Difference between Gaussian function and Point set registration

Gaussian function vs. Point set registration

In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the form: for arbitrary real constants, and. 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.

Similarities between Gaussian function and Point set registration

Gaussian function and Point set registration have 5 things in common (in Unionpedia): Computer vision, Independent and identically distributed random variables, Least squares, Normal distribution, Probability density function.

Computer vision

Computer vision is a field that deals with how computers can be made for gaining high-level understanding from digital images or videos.

Computer vision and Gaussian function · Computer vision and Point set registration · See more »

Independent and identically distributed random variables

In probability theory and statistics, a sequence or other collection of random variables is independent and identically distributed (i.i.d. or iid or IID) if each random variable has the same probability distribution as the others and all are mutually independent.

Gaussian function and Independent and identically distributed random variables · Independent and identically distributed random variables and Point set registration · See more »

Least squares

The method of least squares is a standard approach in regression analysis to approximate the solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns.

Gaussian function and Least squares · Least squares and Point set registration · See more »

Normal distribution

In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution.

Gaussian function and Normal distribution · Normal distribution and Point set registration · See more »

Probability density function

In probability theory, a probability density function (PDF), or density of a continuous random variable, is a function, whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) can be interpreted as providing a relative likelihood that the value of the random variable would equal that sample.

Gaussian function and Probability density function · Point set registration and Probability density function · See more »

The list above answers the following questions

Gaussian function and Point set registration Comparison

Gaussian function has 91 relations, while Point set registration has 57. As they have in common 5, the Jaccard index is 3.38% = 5 / (91 + 57).

References

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

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