Data cleaning and outlier removal: Application in human skin detection

Abstract

An outlier removal based data cleaning technique is proposed to clean manually pre-segmented human skin data in colour images. The 3-dimensional colour data is projected onto three 2-dimensional planes, from which outliers are removed. The cleaned 2 dimensional data projections are merged to yield a 3D clean RGB data. This data is finally used to build a look up table and a single Gaussian classifier for the purpose of human skin detection in colour images.