Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Visualizing n-dimensional virtual worlds with n-vision
I3D '90 Proceedings of the 1990 symposium on Interactive 3D graphics
A polygonal approximation to direct scalar volume rendering
VVS '90 Proceedings of the 1990 workshop on Volume visualization
The Application Visualization System: A Computational Environment for Scientific Visualization
IEEE Computer Graphics and Applications
Visualizing and Modeling Scattered Multivariate Data
IEEE Computer Graphics and Applications
Illuminating the Fourth Dimension
IEEE Computer Graphics and Applications
Techniques for the interactive visualization of volumetric data
VIS '90 Proceedings of the 1st conference on Visualization '90
Visualizing the fourth dimension using geometry and light
VIS '91 Proceedings of the 2nd conference on Visualization '91
Isosurfacing in higher dimensions
Proceedings of the conference on Visualization '00
Space-time points: 4d splatting on efficient grids
VVS '02 Proceedings of the 2002 IEEE symposium on Volume visualization and graphics
VIS '95 Proceedings of the 6th conference on Visualization '95
Interactive visualization methods for four dimensions
VIS '93 Proceedings of the 4th conference on Visualization '93
Virtual reality performance for virtual geometry
VIS '94 Proceedings of the conference on Visualization '94
High Dimensional Direct Rendering of Time-Varying Volumetric Data
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
Visualizing quaternions: course notes for Siggraph 2007
ACM SIGGRAPH 2007 courses
VG'05 Proceedings of the Fourth Eurographics / IEEE VGTC conference on Volume Graphics
Visualization of data on unfolded hypercubes
Journal of Visualization
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Scalar functions of three variables, w = f(x, y, z), are common in many types of scientific and medical applications, Such 3D scalar fields can be understood as elevation maps in four dimensions, with three independent variables (x, y, z) and a fourth, dependent, variable w that corresponds to the elevations. We show how techniques developed originally for the display of 3-manifolds in 4D Euclidean space can be adapted to visualize 3D scalar fields in a variety of ways.