“…The underlying idea of our algorithm is to consider the disparity space (e.g., in disparity maps) as a specific type of the data set, consisting of clusters representing the three dimensional objects of the scene. The fuzzy c-means algorithm has already been used to create the segmentations based on the depth information or disparity maps, e.g., (Ntalianis et al, 2002;Aik and Choon, 2011), and was also adapted to incorporated the spatial neighbourhood information, e.g., (Liew et al, 2000;Chuang et al, 2006;Meena and Raja, 2013), but in all these approaches, the algorithms were run on the input data already containing the depth information for each processed point. Our algorithm does not need the depth information in advance, since it calculates it itself by means of the stereo matching.…”