Reconstruction of Huge Segment Datasets
Lijun Li · Computer Engineering and Science · 2006
The normal method of reconstruction from segment datasets is extract the isosurface first and then optimize the result.For the huge segment data case,however,the traditional operations have very low efficiency or even can not proceed because of the limit of memory space.In this paper,we divide the original data into some continuous parts and reconstruct each part respectively.The final result will be obtained through merging the mesh data of each part with a special format.The algorithm can keep the topological information used for optimizing the operations very well.