Adaptively Sampled Distance Fields (ADFs) are a unifying representation of shape that integrate numerous concepts in computer graphics including the representation of geometry and...
Sarah F. Frisken Gibson, Ronald N. Perry, Alyn P. ...
Abstract: We report on a visualization system that has been implemented to study cellular events which regulate morphogenesis of large organs or whole embryos. For data acquisition...
Guido Brunnett, Marek Vanco, Christine Haller, S. ...
This paper describes a comprehensive approach to construct quality meshes for implicit solvation models of biomolecular structures starting from atomic resolution data in the Prot...
In many applications surfaces containing a large number of primitives occur. Geometry compression reduces storage space and transmission time for such models. A special case is gi...
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...