Fiber Surfaces: Generalizing Isosurfaces to Bivariate Data

摘要: Scientific visualization has many effective methods for examining and exploring scalar vector fields, but rather fewer bivariate fields. We report the first general purpose approach interactive extraction of geometric separating surfaces in This method is based on fiber surfaces: constructed from sets fibers,the multivariate analogues isolines. show simple surface definition extraction. In particular, we a efficient algorithm Marching Cubes. also how to construct interactively with primitives range function. then extend this build user interfaces that generate parameterized families respect arbitrary polygons. special case isovalue-gradient plots, capture features geometrically quantitative analysis have previously only been analysed visually qualitatively using multi-dimensional transfer functions volume rendering. demonstrate variety data.