Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
Accelerated volume rendering and tomographic reconstruction using texture mapping hardware
VVS '94 Proceedings of the 1994 symposium on Volume visualization
A volumetric method for building complex models from range images
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
HWWS '00 Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware
Photographic tone reproduction for digital images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Volume-rendered galactic animations
Communications of the ACM
Optical Models for Direct Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Inverse rendering for computer graphics
Inverse rendering for computer graphics
Reconstruction and Visualization of Planetary Nebulae
IEEE Transactions on Visualization and Computer Graphics
Explanatory and Illustrative Visualization of Special and General Relativity
IEEE Transactions on Visualization and Computer Graphics
Visualizing Large-Scale Uncertainty in Astrophysical Data
IEEE Transactions on Visualization and Computer Graphics
High quality volume rendering for large medical datasets using GPUs
AsiaSim'04 Proceedings of the Third Asian simulation conference on Systems Modeling and Simulation: theory and applications
3D reconstruction of emission and absorption in planetary nebulae
VG'07 Proceedings of the Sixth Eurographics / Ieee VGTC conference on Volume Graphics
Visualization for the Physical Sciences
Computer Graphics Forum
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Determining the three-dimensional structure of distant astronomical objects is a challenging task, given that terrestrial observations provide only one viewpoint. For this task, bipolar planetary nebulae are interesting objects of study because of their pronounced axial symmetry due to fundamental physical processes. Making use of this symmetry constraint, we present a technique to automatically recover the axisymmetric structure of bipolar planetary nebulae from two-dimensional images. With GPU-based volume rendering driving a non-linear optimization, we estimate the nebulaýs local emission density as a function of its radial and axial coordinates, and we recover the orientation of the nebula relative to Earth. The optimization refines the nebula model and its orientation by minimizing the differences between the rendered image and the original astronomical image. The resulting model enables realistic 3D visualizations of planetary nebulae, e.g. for educational purposes in planetarium shows. In addition, the recovered spatial distribution of the emissive gas allows validating computer simulation results of the astrophysical formation processes of planetary nebulae.