skip to main content
10.1145/3532836.3536265acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
invited-talk

“OpenVPCal”: An Open Source In-Camera Visual Effects Calibration Framework

Published:24 July 2022Publication History

ABSTRACT

This presentation introduces the OpenVPCal toolset, an open source in-camera visual effects calibration framework. The toolset includes reference patch generation, creation of calibration color transforms, and custom 1D roll off lookup tables (LUTs) to control content brightness while attempting to maintain a linear light output from the LED panels. The resulting transforms can be expressed via an OpenColorIO Config [OCIO Contributors 2022] file, making tracking and transport easier for productions to manage and reproduce. We hope that by making this workflow open source and accessible, it will increase dialogue between practitioners in the space, leading to new novel improvements for creating more amazing content worldwide.

Skip Supplemental Material Section

Supplemental Material

3532836.3536265.mp4

presentation

References

  1. OCIO Contributors. 2022. OpenColorIO. https://github.com/AcademySoftwareFoundation/OpenColorIO.Google ScholarGoogle Scholar
  2. Nick Shaw, Carol Payne, and Matthias Scharfenberg. 2022. Reference Gamut Compression (RGC) - A Look Transform to bring pixel values within AP1. https://docs.acescentral.com/specifications/rgc/.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    SIGGRAPH '22: ACM SIGGRAPH 2022 Talks
    July 2022
    108 pages
    ISBN:9781450393713
    DOI:10.1145/3532836

    Copyright © 2022 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 24 July 2022

    Check for updates

    Qualifiers

    • invited-talk
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate1,822of8,601submissions,21%
  • Article Metrics

    • Downloads (Last 12 months)67
    • Downloads (Last 6 weeks)3

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format