Adaptive Grid Optical Tomography
| dc.contributor.author | Ihrke, Ivo | en_US |
| dc.contributor.author | Magnor, Marcus | en_US |
| dc.contributor.editor | Mike Chantler | en_US |
| dc.date.accessioned | 2016-02-11T13:30:55Z | |
| dc.date.available | 2016-02-11T13:30:55Z | |
| dc.date.issued | 2005 | en_US |
| dc.description.abstract | 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 multi-video 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. | en_US |
| dc.description.sectionheaders | Multiple Views and 3-D | en_US |
| dc.description.seriesinformation | Vision, Video, and Graphics (2005) | en_US |
| dc.identifier.doi | 10.2312/vvg.20051018 | en_US |
| dc.identifier.isbn | 3-905673-57-6 | en_US |
| dc.identifier.pages | 141-148 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/vvg.20051018 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | I.4.5 [Image Processing and Computer Vision] | en_US |
| dc.subject | ReconstructionI.4.8 [Image Processing and Computer Vision] | en_US |
| dc.subject | Scene AnalysisShapeI.3.7 [Computer Graphics] | en_US |
| dc.subject | Three Dimensional Graphics and Realism | en_US |
| dc.title | Adaptive Grid Optical Tomography | en_US |
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