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1.6

# Glossary

You may find that in this course we use terminology that you are unfamiliar with. This is why we are creating this comprehensive glossary of terms.

Below you find short definitions for recurring terms in the course. The terms are ordered alphabetically. This glossary is a document on which you can collaborate by using the comment function in this step.

In case you feel you can phrase a definition for one of the terms below, please post your definition as a comment. The course educators will regularly monitor the comment section and add the best solutions to the glossary. In case there is an additional term for which you would like a definition, feel free to suggest them too. Please ‘like’ the comments you find correct and most useful.

### A

Active shape model (ASM)

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### C

Conditional distribution

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Confidence region

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Correlation

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Correspondence

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Covariance function -

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Covariance matrix

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### D

Deformation field

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### F

Fitting a model

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Free-form deformation

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### G

Gaussian distribution

Gaussian Process (GP)

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Gaussian Process regression

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### I

Intensity model

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Iterative Closest Point (ICP) algorithm

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### J

Joint distribution

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### K

Karhunen-Loève expansion

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Kernel function

### M

Marginal distribution

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Marginalisation property

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Multivariate normal distribution

### N

Normal distribution

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### P

Point Distribution Model

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Posterior model

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Principal Component Analysis (PCA)

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Prior model

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Procrustes Alignment

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Positive (semi) definiteness

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### R

Registration

Rigid registration is the process of finding the best translation and rotation between two geometric objects. It is a process of minimizing the dissimilarity measure between the two geometric objects. The transformation matrix, which models the translation and rotation, will be applied to the geometric object being registered. Size can be filtered out if required. In this case, the registration would be called a similarity registration.

Non-rigid registration has the same goal as rigid registration, but seeks to find more general non-rigid transformations between the geometric objects.

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Regression

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Rigid transformation

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### S

Sampling

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Shape

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Shape family

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Statistical shape model

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