Adaptive Extended Marching Cubes
Chien‐Chang Ho, Bing‐Yu Chen, Ming Ouhyoung · 2005
Figure1: Pictures of isosurfaces using marching cubes with adaptive resolutions and sharp features. The maximum octree level are 2, 3, 4, 5, 7 from left to right. The demands related to Volumetric Models are increasing rapidly due to the availability of 3D scanner, but its application in the manipulation of volumetric data raises several issues that need to be addressed. The fundamental of manipulating volumetric data includes isosurface extraction, while sharp features of 3D models are well preserved with Extended Marching Cubes algorithm (EMC). However, the resulting isosurfaces will be huge in contrast to adaptive resolution. An adaptive resolution improvement to EMC is proposed to let different resolutions coexist at different locations to meet different requirements. In addition, due to correlated nature of adjacent cubes, isosurface extracting using standard error minimization methods needs to take special considerations while resolution goes adaptive. A performance driven method and guidelines are suggested in this paper. Furthermore, progressive transmission is easy to achieve by using the adaptive octree. 1.