Rotation invariant ellipsoid projection for domain transfer in human skin detection

Different datasets are often regarded as different domains where different data distributions exist in many pattern recognition systems. A typical problem is the different illumination conditions that need to be adapted in human skin detection. In this paper we present a method called rotation invariant ellipsoid projection (RIEP) to handle the domain transfer problem in the feature space. It uses two ellipsoids to represent the data distributions of the source and the target domains. The source ellipsoid will be projected to the target ellipsoid to complete the domain transfer. In this process the source ellipsoid does not rotate to keep the updated data avoiding distortion. We implement this model in human skin detection and observe better performance comparing to some existing methods.