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  4. ChromoLCD: LCD-based Compact Reprogrammer for On-the-fly High-Resolution Images on Photochromic Surfaces

ChromoLCD: LCD-based Compact Reprogrammer for On-the-fly High-Resolution Images on Photochromic Surfaces

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Author(s)
Zhu, Yunyi
•
Li, Qingyuan
•
Yan, Katherine
•
Guan, Emily
•
Luchianov, Alexandru
•
Hen, Eden
•
Mueller, Stefanie
Date Issued
March 7, 2026
Publisher
ACM|Twentieth International Conference on Tangible, Embedded, and Embodied Interaction
Citation
Yunyi Zhu, Qingyuan Li, Katherine Arianna Yan, Emily Guan, Alexandru Luchianov, Eden Hen, and Stefanie Mueller. 2026. ChromoLCD: LCD-based Compact Reprogrammer for On-the-fly High-Resolution Images on Photochromic Surfaces. In Proceedings of the Twentieth International Conference on Tangible, Embedded, and Embodied Interaction (TEI '26). Association for Computing Machinery, New York, NY, USA, Article 12, 1–10.
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Final published version
Abstract
Color-changing materials, such as photochromic pigments, allow objects to have reprogrammable multicolor surface images. Existing systems that reprogram these images are based on projectors and LEDs, each with advantages and limitations in device portability and image resolution. In this paper, we present ChromoLCD, a surface reprogrammer that uses a liquid crystal display (LCD) to achieve a compact handheld device without sacrificing image resolution. ChromoLCD consists of an LCD panel with a custom backlight containing R,G,B and UV LEDs, forming high-resolution light patterns with the required wavelengths. The compact form factor of ChromoLCD enables on-the-fly reprogramming of everyday surfaces. Our technical evaluation shows that ChromoLCD achieves a resolution of 25 ppi, which is 8 times better than the prior work. We demonstrate ChromoLCD with three applications, including the stamping of reprogrammable AR markers on a kitchen counter, on-the-fly designs on personal accessories, and reference pictures on a whiteboard.
Description
TEI ’26, Chicago, IL, USA
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/165293
DOI of Published Version
https://doi.org/10.1145/3731459.3773308
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