PCA with ScalismoLab

[Ilaria A.]

Hi everybody,

I'm using ScalismoLab to create a model by a PCA from a set  of meshes in correspondence. I've use the function .creatingUsingPCA()

Regarding this function I have two questions:

1) How this function really works?

2) Once I've created my model using PCA, I've exract the eigenvalues, but there is a way to extract also the eigenvectors and the covariance matrix that describe my model.

Best regards,

Ilaria

[Marcel Luethi]

Dear Ilaria

An introduction to the concepts behind the Scalismo Implementation is given in our Paper Gaussian Process Morphable Models:

https://ieeexplore.ieee.org/abstract/document/8010438

As explained in Section 2.1, we are using a standard PCA to compute the shape variations.

To see how it is done in code, you can look at the source code of the method DiscreteLowRankGaussianProcess.createUsingPCA:

https://github.com/unibas-gravis/scalismo/blob/release-0.17/src/main/scala/scalismo/statisticalmodel/DiscreteLowRankGaussianProcess.scala

Best regards,

Marcel

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[Ilaria A.]

Thank you!