Application of fuzzy signal processing to three dimensional vision

Three types of filter based on Sugeno fuzzy systems have been presented. These filters aim to improve on the results of a depth from image sequences algorithm using either a moving average or median filter as a depth map smoother. The fuzzy filters attempt to do this by using additional information on the uncertainties in the depth map and information on edge location in the original grey scale images. The results of the first two types of filter described show an improvement in RMS error on sequences of simulated images. The results using the edge information are disappointing, but work is ongoing to investigate the reasons for the poorer RMS error when this type of filter is used