Facial image clustering in single channel and stereo video content

Abstract

In this paper spectral clustering techniques are implemented and evaluated on image clustering for single channel and 3D video analysis. The main idea is to use mutual information to create a similarity matrix for image pairs and then apply spectral clustering. Then, spectral clustering techniques can be used for image clustering. Such clustering techniques are then extended to stereo video. The application at hand includes facial image clustering on single view and stereo videos facial images.