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Depth estimation is an active area of research for 3-dimensional (3D) shape recovery. In this paper, we present a passive depth estimation method. Since the 3-dimensional (3D) cameras currently available are quite expensive, we propose the passive method as a means to decrease the high cost associated with 3D cameras. Our algorithm is based on the fuzzy-neuro approach. A fuzzy inference system (FIS) is designed and trained using the neural network for the calculation of the depth map. The proposed approximation technique yields good results when it is tested with several 3D objects.