Range image processing based on multiresolution analysis

Abstract

We propose some aspects of range image processing (filtering, segmentation) based on multiresolution analysis, where we use discrete coiflet transforms. The interesting property of this kind of wavelets is the interpolating characteristic of their associated scaling functions. This characteristic is due to the fact that both coiflets and their scaling functions moments vanish. We give some definitions of range images, how they are acquired and treated. Then we present a new filtering method for such images, where we outline the importance of the interpolation property of the coiflet scaling function. We also describe an accelerating method for the range image segmentation process which uses region-growing techniques based on functions approximation and the local neighborhood property. Experimental results are given as examples.