Real-time depth of field using multi-layer filtering
Autor: | Kai Selgrad, Pascal Wagner, Christian Reintges, Dominik Penk, Marc Stamminger |
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Rok vydání: | 2015 |
Předmět: |
Novel technique
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image-based modeling and rendering Rendering (computer graphics) Single camera Depth map Computer vision Depth of field Artificial intelligence business Multi layer ComputingMethodologies_COMPUTERGRAPHICS Constellation |
Zdroj: | Proceedings of the 19th Symposium on Interactive 3D Graphics and Games. |
DOI: | 10.1145/2699276.2699288 |
Popis: | We present a novel technique for rendering depth of field that addresses difficult overlap cases, such as close, but out-of-focus, geometry in the near-field. Such scene configurations are not managed well by state-of-the-art post-processing approaches since essential information is missing due to occlusion.Our proposed algorithm renders the scene from a single camera position and computes a layered image using a single pass by constructing per-pixel lists. These lists can be filtered progressively to generate differently blurred representations of the scene. We show how this structure can be exploited to generate depth of field in real-time, even in complicated scene constellations. |
Databáze: | OpenAIRE |
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