This paper presents a new segmentation-based compression scheme for 3D dynamic models. The segmentation process is preformed based on the heat diffusion properties, while exploit- ing temporal and spatial dependencies of the geometry component. 3D affine transforms are used to describe the motion clusters. Weighting of these affine transforms allows to faithfully determine the vertex motions in each cluster. Indeed, both of affine transforms and weighting parameters are determined in order to estimate the positions of vertices in each frame, and consequently compute the temporal prediction errors to be quantized and encoded. In order to improve the coding efficiency, the prediction error quantization is op- timized using a rate control mechanism. Comparative coding tests, for 3D mesh sequences, were conducted to evaluate the coding performance and examine the effectiveness of the proposed coder. The experiments have shown that our codec provides very satisfactory results when compared to the state of the art.