Regularization-based 3D object modeling from multiple range images

Several methods have been proposed for building 3D object models from multiple range images mainly on the basis of the deformable models and pseudo-dynamics. However, the patches are usually placed crossing over the edge regions, and the surface orientation discontinuities cannot be properly preserved as a result. This paper proposes a new 3D object modeling method that generates refined triangular meshes while preserving the surface discontinuities. We formulate the process into a problem of minimizing an energy functional by using the idea of line processes and Markov random fields. Moreover, we show that near-optimal solutions can be obtained by utilizing the continuation method.