# Gaussian process morphable models

Coming late. But read the following article if you cannot wait for me writing this post: [1] Gaussian Process Morphable Models, Marcel Luthi , Thomas Gerig, Christoph Jud, and Thomas […]

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Author: me

# Gaussian process morphable models

# Miscellaneous Proofs for SSM (1)

# SSM Using Scalismo (3): Non-rigid registration

# Procrustes Analyses

# SSM Using Scalismo (2): GP mean and kernel

# SSM Using Scalismo (1): Rigid alignment

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Coming late. But read the following article if you cannot wait for me writing this post: [1] Gaussian Process Morphable Models, Marcel Luthi , Thomas Gerig, Christoph Jud, and Thomas […]

1) The sum of the squared of distances is minimized by the vector means Prove . are vectors and is a vector norm coming from the inner product defined on […]

Non-rigid registration The rigid registration preserves the shape and size (form) of objects by merely transforming them through rotation and translation. Unlike the rigid registration, non-rigid registration (NRR) deforms (morphs) […]

Some definitions* 1) The Shape of an object is all the geometrical information that remains when, location, scale, and rotational effects are removed from and object. In other words, shape […]

Statistical shape modeling (SSM) using Scalismo is based on Gaussian process (a random field. A Gaussian process, like normal probability distribution, is completely defined by its mean ( ยต ) […]

Hereby, I am going to use Scalismo to rigidly register/align/fit objects represented by triangular meshes onto a particular object. The alignment is based on partial ordinary Procrustes analysis method (POPA). […]