Approximation and rendering of volume data using wavelet transforms

A method is presented to obtain a unique shape description of an object by using wavelet transforms. Wavelet transform is a signal analysis technique which decomposes a signal using a family of functions having a local property in both time and frequency domains. A multiresolution expression of 3D volume data was first obtained by applying 3D orthogonal wavelet transforms, with the shape then being approximated with a relatively small number of 3D orthogonal functions using only the significant functions. In addition, the resolution of the approximation can be varied point by point using the local property of the wavelets. The method is applied to real volume data, i.e. facial range data and MR images of a human head, and typical results are shown.< >