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Adaptive Radiometric Compensation on Deforming Surfaces

Published:06 August 2021Publication History

ABSTRACT

In this research, we propose an adaptive radiometric compensation method, which uses only a projector and a camera, on continuously deforming projection surfaces. Radiometric compensation has been widely studied as a technique for making various objects usable as screens, by canceling out the influence of the color and pattern of the projection target. However, since it is necessary to continuously maintain the inter-pixel correspondence between a projector and a camera, to date, the projection target has been limited to stationary objects. Therefore, we propose a method to estimate the inter-pixel correspondence in real-time, using only a normal projector and camera. The method expands the scope of application of projection mapping greatly, by applying radiometric compensation to deforming clothes, and making them available as screens.

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References

  1. Kensaku Fujii, Michael D. Grossberg, and Shree K. Nayar. 2005. A projector-camera system with real-time photometric adaptation for dynamic environments. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 814–821.Google ScholarGoogle Scholar
  2. Naoki Hashimoto and Kazuma Yoshimura. 2020. Radiometric Compensation for Non-Rigid Surfaces by Continuously Estimating Inter-pixel Correspondence. The Visual Computer (2020), 175–187.Google ScholarGoogle Scholar
  3. Stefanie Zollmann and Oliver Bimber. 2007. Imperceptible Calibration for Radiometric Compensation. In EG Short Papers. 61–64.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        SIGGRAPH '21: ACM SIGGRAPH 2021 Posters
        August 2021
        90 pages
        ISBN:9781450383714
        DOI:10.1145/3450618

        Copyright © 2021 Owner/Author

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 August 2021

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        Overall Acceptance Rate1,822of8,601submissions,21%
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