Visualizing and Communicating Errors in Rendered Images

Pontus Andersson; Tomas Akenine-Möller; Jim Nilsson

Visualizing and Communicating Errors in Rendered Images

Pontus Andersson, Tomas Akenine-Möller, Jim Nilsson

ELLIIT: the Linköping-Lund initiative on IT and mobile communication

Nvidia Inc.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Kapitel samlingsverk › Forskning › Peer review

Sammanfattning

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.

Originalspråk	engelska
Titel på värdpublikation	Ray Tracing Gems II
Undertitel på värdpublikation	Next Generation Real-Time Rendering with DXR, Vulkan, and OptiX
Redaktörer	Adam Marrs, Peter Shirley, Ingo Wald
Förlag	Apress
Kapitel	19
Sidor	301-320
Antal sidor	19
ISBN (elektroniskt)	978-1-4842-7185-8
ISBN (tryckt)	978-1-4842-7187-2
Status	Published - 2021 aug. 4

Ämnesklassifikation (UKÄ)

Datorseende och robotik (autonoma system)
Datavetenskap (datalogi)

Tillgång till dokument

https://link.springer.com/book/10.1007/978-1-4842-7185-8Licens: CC BY-NC-ND

1 Konferenspaper i proceeding
1 Artikel i vetenskaplig tidskrift

Visualizing Errors in Rendered High Dynamic Range Images
Andersson, P., Nilsson, J., Shirley, P. & Akenine-Möller, T., 2021 maj 3, Conference of the European Association for Computer Graphics (Eurographics) Short Papers. Eurographics - European Association for Computer Graphics
Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Öppen tillgång
FLIP: A Difference Evaluator for Alternating Images
Andersson, P., Akenine-Möller, T., Nilsson, J., Åström, K., Oskarsson, M. & Fairchild, M., 2020 aug., I: Proceedings of the ACM in Computer Graphics and Interactive Techniques. 3, 2, 23 s., 15.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

Öppen tillgång

2 Aktiva

Spatiotemporal Consistency in Rendering and Deep Learning
Ebelin, P., Åström, K., Akenine-Möller, T. & Oskarsson, M.
2019/08/01 → 2024/07/31
Projekt: Avhandling
WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
Årzén, K.
2015/10/01 → 2029/12/31
Projekt: Forskning

Citera det här

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title = "Visualizing and Communicating Errors in Rendered Images",

abstract = "In rendering research and development, it is important to have a formalizedway of visualizing and communicating how and where errors occur whenrendering with a given algorithm. Such evaluation is often done by comparingthe test image to a ground-truth reference image. We present a tool for doingthis for both low and high dynamic range images. Our tool is based on aperception-motivated error metric, which computes an error map image. Forhigh dynamic range images, it also computes a visualization of the exposuresthat may generate large errors.",

author = "Pontus Andersson and Tomas Akenine-M{\"o}ller and Jim Nilsson",

year = "2021",

month = aug,

day = "4",

language = "English",

isbn = "978-1-4842-7187-2",

pages = "301--320",

editor = "Adam Marrs and Peter Shirley and Ingo Wald",

booktitle = "Ray Tracing Gems II",

publisher = "Apress",

address = "United States",

}

Visualizing and Communicating Errors in Rendered Images. / Andersson, Pontus ; Akenine-Möller, Tomas; Nilsson, Jim.
Ray Tracing Gems II: Next Generation Real-Time Rendering with DXR, Vulkan, and OptiX. red. / Adam Marrs; Peter Shirley; Ingo Wald. Apress, 2021. s. 301-320.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Kapitel samlingsverk › Forskning › Peer review

TY - CHAP

T1 - Visualizing and Communicating Errors in Rendered Images

AU - Andersson, Pontus

AU - Akenine-Möller, Tomas

AU - Nilsson, Jim

PY - 2021/8/4

Y1 - 2021/8/4

N2 - In rendering research and development, it is important to have a formalizedway of visualizing and communicating how and where errors occur whenrendering with a given algorithm. Such evaluation is often done by comparingthe test image to a ground-truth reference image. We present a tool for doingthis for both low and high dynamic range images. Our tool is based on aperception-motivated error metric, which computes an error map image. Forhigh dynamic range images, it also computes a visualization of the exposuresthat may generate large errors.

AB - In rendering research and development, it is important to have a formalizedway of visualizing and communicating how and where errors occur whenrendering with a given algorithm. Such evaluation is often done by comparingthe test image to a ground-truth reference image. We present a tool for doingthis for both low and high dynamic range images. Our tool is based on aperception-motivated error metric, which computes an error map image. Forhigh dynamic range images, it also computes a visualization of the exposuresthat may generate large errors.

M3 - Book chapter

SN - 978-1-4842-7187-2

SP - 301

EP - 320

BT - Ray Tracing Gems II

A2 - Marrs, Adam

A2 - Shirley, Peter

A2 - Wald, Ingo

PB - Apress

ER -

Visualizing and Communicating Errors in Rendered Images

Sammanfattning

Ämnesklassifikation (UKÄ)

Tillgång till dokument

Fingeravtryck

Forskningsoutput

Visualizing Errors in Rendered High Dynamic Range Images

FLIP: A Difference Evaluator for Alternating Images

Projekt

Spatiotemporal Consistency in Rendering and Deep Learning

WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University

Citera det här