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A robust visualization method for reconstructing surfaces from 3D scattered points with normals is proposed. The method is based on both the Delaunay tetrahedralization and the implicit function. The method enables to reduce total computational costs of the surface visualization by using the Delaunay tetrahedralization mainly. Even if some unexpected surfaces are generated in a result of the Delaunay tetrahedralization, the method can modify the result by using an implicit function. In experiments, some results are shown as examples of applying the method.