Light Field Compression using Eigen Textures
| Autor: | Marco Volino, Adrian Hilton, Armin Mustafa, Jean-Yves Guillemaut |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry Open problem Digital content ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 020207 software engineering 02 engineering and technology Rendering (computer graphics) Principal component analysis 0202 electrical engineering electronic engineering information engineering Augmented reality Computer vision Artificial intelligence business Eigenvalues and eigenvectors Surface reconstruction Light field ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | 3DV |
| DOI: | 10.1109/3dv.2019.00060 |
| Popis: | Light fields are becoming an increasingly popular method of digital content production for visual effects and virtual/augmented reality as they capture a view dependent representation enabling photo realistic rendering over a range of viewpoints. Light field video is generally captured using arrays of cameras resulting in tens to hundreds of images of a scene at each time instance. An open problem is how to efficiently represent the data preserving the view-dependent detail of the surface in such a way that is compact to store and efficient to render. In this paper we show that constructing an Eigen texture basis representation from the light field using an approximate 3D surface reconstruction as a geometric proxy provides a compact representation that maintains view-dependent realism. We demonstrate that the proposed method is able to reduce storage requirements by > 95% while maintaining the visual quality of the captured data. An efficient view-dependent rendering technique is also proposed which is performed in eigen space allowing smooth continuous viewpoint interpolation through the light field. |
| Databáze: | OpenAIRE |
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