The design and analysis of spatial data structures
The design and analysis of spatial data structures
Multilevel image reconstruction with natural pixels
SIAM Journal on Scientific Computing - Special issue on iterative methods in numerical linear algebra; selected papers from the Colorado conference
Rank-deficient and discrete ill-posed problems: numerical aspects of linear inversion
Rank-deficient and discrete ill-posed problems: numerical aspects of linear inversion
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Principles of computerized tomographic imaging
Principles of computerized tomographic imaging
Physically based modeling and animation of fire
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Optical Models for Direct Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Modeling using Tomography and Photography
MVIEW '99 Proceedings of the IEEE Workshop on Multi-View Modeling & Analysis of Visual Scenes
Stereo Matching with Transparency and Matting
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Photo-Consistent 3D Fire by Flame-Sheet Decomposition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Simulating water and smoke with an octree data structure
ACM SIGGRAPH 2004 Papers
Image-based tomographic reconstruction of flames
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Wavelet-based multiresolution local tomography
IEEE Transactions on Image Processing
Volume stylizer: tomography-based volume painting
Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
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Image-based modeling of semi-transparent, dynamic phenomena is a challenging task. We present an optical tomography method that uses an adaptive grid for the reconstruction of a three-dimensional density function from its projections. The proposed method is applied to reconstruct thin smoke and flames volumetrically from synchronized multivideo recordings. Our adaptive reconstruction algorithm computes a time-varying volumetric model, that enables the photorealistical rendering of the recorded phenomena from arbitrary viewpoints. In contrast to previous approaches we sample the underlying unknown, three-dimensional density function adaptively which enables us to achieve a higher effective resolution of the reconstructed models.