3D visual surface reconstruction based on wavelet decomposition and fractal interpolation

Traditional algorithms of 3D surface reconstruction include iteration and linear interpolation and surface fitting technique etc. These methods are mainly suitable for regular shapes and smooth surfaces. For scenes with affluent textures, these methods can't preserve their statistical characteristics. A new method combining wavelet decomposition with fractal interpolation for 3D surface reconstruction is proposed in this paper. For 3D surface reconstruction purposes, the wavelet decomposition extracts strong image self-similar characteristics that can be utilized to three dimension surface reconstruction. With a fractal interpolation, we can generate the practical simulation of three dimension visual surfaces. Our results indicate a good approximation of realistic looking mountainous terrain.