Imprinto: Enhancing Infrared Inkjet Watermarking for Human and Machine Perception

要旨

Hybrid paper interfaces leverage augmented reality to combine the desired tangibility of paper documents with the affordances of interactive digital media. Typically, virtual content can be embedded through direct links (e.g., QR codes); however, this impacts the aesthetics of the paper print and limits the available visual content space. To address this problem, we present Imprinto, an infrared inkjet watermarking technique that allows for invisible content embeddings only by using off-the-shelf IR inks and a camera. Imprinto was established through a psychophysical experiment, studying how much IR ink can be used while remaining invisible to users regardless of background color. We demonstrate that we can detect invisible IR content through our machine learning pipeline, and we developed an authoring tool that optimizes the amount of IR ink on the color regions of an input document for machine and human detectability. Finally, we demonstrate several applications, including augmenting paper documents and objects.

著者
Martin Feick
DFKI and Saarland University, Saarland Informatics Campus, Saarbrücken, Germany
Xuxin Tang
Computer Science Department, Blacksburg, Virginia, United States
Raul Garcia-Martin
Universidad Carlos III de Madrid, Leganes, Madrid, Spain
Alexandru Luchianov
MIT CSAIL, Cambridge, Massachusetts, United States
Roderick Wei Xiao. Huang
MIT CSAIL, Cambridge, Massachusetts, United States
Chang Xiao
Adobe Research, San Jose, California, United States
Alexa Siu
Adobe Research, San Jose, California, United States
Mustafa Doga Dogan
Adobe Research, Basel, Switzerland
DOI

10.1145/3706598.3713286

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713286

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Fabrication and Interaction Tools

G402
7 件の発表
2025-05-01 01:20:00
2025-05-01 02:50:00
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