1. A method for the three-dimensional detection of objects, the method comprising the steps of: detecting a scene by means of a first image detection device, wherein a first image is produced; detecting the scene by means of a second image detection device, wherein a second image is produced; fixing a correlation window as a portion of the first image; fixing a plurality of search windows as portions of the second image, wherein different search windows reproduce different regions of the second image; determining the one of the plurality of search windows that corresponds to the correlation window by means of a correlation process, wherein in the correlation process, a binarization scheme is applied to the correlation window and to the plurality of search windows in which the respective points of at least one randomly selected point pair within the correlation window and within the plurality of search windows are compared with one another, with a respective results vector being formed for the correlation window and for the plurality of search windows; a correlation of the results vector of the correlation window and of the results vectors of the plurality of search windows takes place to determine the one of the plurality of search windows corresponding to the correlation window; and the at least one point pair is selected by means of a plurality of iterations, wherein the at least one point pair is reselected randomly for each iteration and wherein at least one point pair is used for the correlation process which achieves the best association between the correlation window and the one of the plurality of search windows corresponding to the correlation window.