We introduce a compact coding of image information which explicitely separates geometric information (orientation) and structural information (phase and color). We investigate the importance of these factors for stereo matching on a large data set. From these investigation we can conclude that it is their combination that gives the best results. Concrete weights for their relative importance are measured.