Article | Proceedings of SIGRAD 2017, August 17-18, 2017 Norrköping, Sweden | High-Quality Real-Time Depth-Image-Based-Rendering
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Title:
High-Quality Real-Time Depth-Image-Based-Rendering
Author:
Jens Ogniewski: Linköping University, Linköping, Sweden
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of SIGRAD 2017, August 17-18, 2017 Norrköping, Sweden
Issue:
143
Article no.:
001
Pages:
1-8
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2017-11-27
ISBN:
978-91-7685-384-9
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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With depth sensors becoming more and more common, and applications with varying viewpoints (like e.g. virtual reality) becoming more and more popular, there is a growing demand for real-time depth-image-based-rendering algorithms that reach a high quality. Starting from a quality-wise top performing depth-image-based-renderer, we develop a real-time version. Despite reaching a high quality as well, the new OpenGL-based renderer decreases runtime by (at least) 2 magnitudes. This was made possible by discovering similarities between forward-based and mesh-based rendering, which enable us to remove the common parallelization bottleneck of competing memory access, and facilitated by the implementation of accurate yet fast algorithms for the different parts of the rendering pipeline. We evaluated the proposed renderer using a publicly available dataset with ground-truth depth and camera data, that contains both rapid camera movements and rotations as well as complex scenes and is therefore challenging to project accurately.

Keywords: Real-Time Rendering, Depth Image, Splatting

Proceedings of SIGRAD 2017, August 17-18, 2017 Norrköping, Sweden

Author:
Jens Ogniewski
Title:
High-Quality Real-Time Depth-Image-Based-Rendering
References:

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Proceedings of SIGRAD 2017, August 17-18, 2017 Norrköping, Sweden

Author:
Jens Ogniewski
Title:
High-Quality Real-Time Depth-Image-Based-Rendering
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