Research output per year
Research output per year
Abstract
In rendering research and development, it is important to have a formalized
way of visualizing and communicating how and where errors occur when
rendering with a given algorithm. Such evaluation is often done by comparing
the test image to a ground-truth reference image. We present a tool for doing
this for both low and high dynamic range images. Our tool is based on a
perception-motivated error metric, which computes an error map image. For
high dynamic range images, it also computes a visualization of the exposures
that may generate large errors.
way of visualizing and communicating how and where errors occur when
rendering with a given algorithm. Such evaluation is often done by comparing
the test image to a ground-truth reference image. We present a tool for doing
this for both low and high dynamic range images. Our tool is based on a
perception-motivated error metric, which computes an error map image. For
high dynamic range images, it also computes a visualization of the exposures
that may generate large errors.
| Original language | English |
|---|---|
| Title of host publication | Ray Tracing Gems II |
| Subtitle of host publication | Next Generation Real-Time Rendering with DXR, Vulkan, and OptiX |
| Editors | Adam Marrs, Peter Shirley, Ingo Wald |
| Publisher | Apress |
| Chapter | 19 |
| Pages | 301-320 |
| Number of pages | 19 |
| ISBN (Electronic) | 978-1-4842-7185-8 |
| ISBN (Print) | 978-1-4842-7187-2 |
| Publication status | Published - 2021 Aug 4 |
Subject classification (UKÄ)
- Computer Vision and Robotics (Autonomous Systems)
- Computer Science
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Visualizing Errors in Rendered High Dynamic Range Images
Andersson, P., Nilsson, J., Shirley, P. & Akenine-Möller, T., 2021 May 3, Conference of the European Association for Computer Graphics (Eurographics) Short Papers. Eurographics - European Association for Computer GraphicsResearch output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Open Access -
FLIP: A Difference Evaluator for Alternating Images
Andersson, P., Akenine-Möller, T., Nilsson, J., Åström, K., Oskarsson, M. & Fairchild, M., 2020 Aug, In: Proceedings of the ACM in Computer Graphics and Interactive Techniques. 3, 2, 23 p., 15.Research output: Contribution to journal › Article › peer-review
Open Access
Projects
- 1 Active
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Spatiotemporal Consistency in Rendering and Deep Learning
Andersson, P., Åström, K., Akenine-Möller, T. & Oskarsson, M.
2019/08/01 → 2024/07/31
Project: Dissertation