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3D Texture Representation in Projection Mapping onto a Surface with Micro-Vibration

Published: 02 December 2024 Publication History

Abstract

In projection mapping, it is not possible to adequately represent fine, three-dimensional surface textures such as fur. To solve this problem, we propose a method to add minute high-speed vibrations in the depth direction to the projection target and to project images at high speed synchronized with the depth position of the projection target at each instant. In this paper, we report on the proposed method and its projection results.

References

[1]
Thomas M Nelson and S Howard Bartley. 1964. The Talbot-plateau law and the brightness of restricted numbers of photic repetitions at CFF. Vision research 4, 7-8 (1964), 403–411.
[2]
Nagisa Okutani, Takuro Takezawa, Daisuke Iwai, and Kosuke Sato. 2018. Stereoscopic capture in projection mapping. IEEE Access 6 (2018), 65894–65900.
[3]
Ramesh Raskar, Greg Welch, Kok-Lim Low, and Deepak Bandyopadhyay. 2001. Shader lamps: Animating real objects with image-based illumination. In Eurographics workshop on rendering techniques. Springer, 89–102.

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  1. 3D Texture Representation in Projection Mapping onto a Surface with Micro-Vibration

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    cover image ACM Conferences
    SA '24: SIGGRAPH Asia 2024 Posters
    December 2024
    260 pages
    ISBN:9798400711381
    DOI:10.1145/3681756
    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(s).

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    New York, NY, United States

    Publication History

    Published: 02 December 2024

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    Author Tags

    1. Projection mapping
    2. 3D representation
    3. texture

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    SA '24
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    SA '24: SIGGRAPH Asia 2024 Posters
    December 3 - 6, 2024
    Tokyo, Japan

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    Overall Acceptance Rate 178 of 869 submissions, 20%

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