Surface reconstruction by evaluating height from gradient values

This paper presents a robust method for reconstruction of surface in terms of its height values. The height values are calculated from the gradient vector field in image data. These gradient values are used in the formulation of minimization problem according to variational principle. From this minimization problem, Euler´s Equation is derived, which is Poisson´s equation whose right hand side is having discrete values at the grid points. Thereafter, discrete Fourier sine transform is implied for the solution of this Poisson´s equation by assuming the image intensities at the boundaries. The relative depth values can be obtained at the corresponding grid points and subsequently used for the reconstruction of surface.