2DPCA-based method for place classification using range scan

Abstract

A method for place classification from a range scan is proposed, where the range scan is characterised with a 2D histogram of pairwise angular distance. The proposed method uses two-dimensional principal component analysis (2DPCA), a feature extraction and data representation technique, to train a set of classifiers with 2D histograms of range scans.