Python Implementation of LPG-PCA algorithm [1] and an extension to 3D images. K : the length of variable block (central block) which models a pixel and its nearest neighbors L : the length of training ...

The paper shows the possibility of combining statistical methods in the field of analysing large data sets, the so-called Big Data, in terms of pattern recognition – in this case, the recognition of ...

Abstract: Kernel principal component analysis (PCA) is proposed as a nonlinear technique for dimensionality reduction. The basic idea is to map the input space into a feature space via nonlinear ...

This paper describes a novel method for 3D head reconstruction by Shape From Shading (SFS) with initial conditions estimated using Hybrid Principal Component Analysis (HPCA). Prevalent Shape from ...