In this paper, a new motion modeling method is introduced. We employ the popular quadtree structure to divide an image frame into variable size blocks. Each block is considered as an independent deformable mesh cell, and can be connected to causal neighbor cells to produce partial meshes. The motion model in each mesh cell is adaptively selected by minimizing a Lagrangian cost. We evaluate the proposed method by motion compensated prediction and coding. Preliminary experimental results show its potential advantages.