In this paper, we proposed two 3D mesh compression methods based on the “multidimensional multiscale parser”. The main idea of the first method is to transform the 3D object into a 2D image using the geometry image [3]. The second method is to project the wavelet transform of the object into a 2D image. The coding is processed using the MMP on these 2D images. At low bitrates, (from 0.3 to 1 bit/vertex) we have a better result in the order of 0.5 dB than the simple wavelet transform method [1]. Moreover, our method consists in processing the data progressively during acquisition while reducing considerably the memory. The problem of scan-based processing arises when compressing very large volumes of data using a minimum of memory resources. Knowing that the 3D meshes with a high degree of precision have sizes exceeding several million points, the difficulty of processing quickly arises related to this kind of data. With our scan-based method, we were able to reach levels memory even smaller than in the wavelet transform method (WT) of [1] with a better compression quality.