Statistical shape modelling (SSM). This is what I am going to write about here.

## Theory of statistical shape modeling/analysis

This section contains my notes on the theory of statistical shape modeling/analysis. The notes are founded on my own comprehension of the concepts, so if you have found me in error on some part, please do me a favor and email me.

Some definitions* 1) The Shape of an object is all the geometrical information that remains when, location, scale, and rotational ...

Coming late. But read the following article if you cannot wait for me writing this post: [1] Gaussian Process Morphable ...

A point distribution model (PDM) is a model that locates (or determines the geometrical (spatial) distribution of) the points of ...

A shape mode can be explained in the following simple and plain way. Consider the following population of n shapes; ...

## SSM Using Scalismo

SSM using Scalismo, an open source library written in Scala for shape modelling and image analysis, is practiced in this section. Scalismo is going to be practiced in IntelliJ IDEA, a programming IDE. If you are familiar with Scala and IntelliJ, you can simply add the dependencies as explained in this page. If it is your first time, you may also want to have a look at this pdf.

Hereby, I am going to use Scalismo to rigidly register/align/fit objects represented by triangular meshes onto a particular object. The ...

Statistical shape modeling (SSM) using Scalismo is based on Gaussian process (a random field. A Gaussian process, like normal probability ...

Non-rigid registration The rigid registration preserves the shape and size (form) of objects by merely transforming them through rotation and ...

In this post, I am going to implement the partial and the full generalized Procrustes analyses (partial GPA and full ...

Finally, I arrive at statistical shape models. I am going to create a point distribution model (PDM) of shapes. Reading ...