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 ...

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 ...

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 ...

An approach of 3D face recognition by using of facial surface classification image and PCA is presented. In the step of pre-processing, the scattered 3D points of a facial surface are normalized by ...