3D surface reconstruction using fuzzy deformable models

This paper presents a method for 3D surface reconstruction using a deformable model, which integrates fuzzy techniques, deformable model and the level set method. In order to make the result much less sensitive to the initial conditions and noise, fuzzy external forces that drive the model towards surface of object are developed based on a adaptive fuzzy segmentation algorithm. We represent the deformable model as a level set of a 3D scalar function so that the deformable model can reconstruct the 3D surface of the object with complex geometries and topologies. Results of several experiments are shown to demonstrate the effectiveness of our method