Isosurface Extraction for Large-Scale Data Sets

Abstract

Isosurface extraction is an important technique for visualizing large scale three-dimensional scalar fields. Recent years have seen many acceleration methods for isosurface extraction including the space space representation and view dependent methods. In this paper, we provide an overview of isosurface extraction and describe two methods for view dependent isosurface extraction; building upon our previous research to develop a superior method. We describe the differences between the two techniques and their relative advantages and disadvantages. These methods are particularly useful for remote visualization of very large datasets.