InvisIto：为普适纺织品交互编织不易察觉的红外标记
InvisIto: Weaving Unobtrusive Infrared Markers for Ubiquitous Textile Interaction
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中文总结 AI 辅助
InvisIto利用近红外吸收纱线编织不易察觉的红外标记，含设计工具、伪装策略与检测流水线，支持QR码和ArUco标记，可用于多类编织场景实现可扩展交互制造。
中文摘要 AI 辅助
纺织品正被越来越多地用作与数字信息交互的媒介，但现有诸多方法依赖可见标签、印刷覆盖层或电子模块，会损害织物的美学与触觉品质。为解决该问题，我们提出InvisIto，一种利用近红外（NIR）吸收纱线直接在织物中编织视觉上不易察觉但机器可读的红外标记的方法。这些纱线在环境光下外观与标准纤维相似，却能在NIR成像中产生强对比度。我们的方法包含三部分：（1）设计工具，帮助用户轻松将红外标记嵌入编织草稿；（2）五种伪装策略，进一步降低标记在环境光下的可见性；（3）基于相机的检测流水线，用于解码和跟踪编织的标记。InvisIto既支持用于数据编码的编织QR码，也支持用于二元输入与变形跟踪的编织ArUco标记。我们在手工编织、提花编织和工业制造场景中展示了相关应用，表明InvisIto支持从定制制品到大规模生产的可扩展交互与制造。
英文摘要
Textiles are increasingly explored as media for interacting with digital information. However, many of the existing approaches rely on visible tags, printed overlays, or electronic modules that compromise the fabric's aesthetic and tactile qualities. To address this, we present InvisIto, a method for weaving visually unobtrusive yet machine-readable infrared markers directly into fabrics using near-infrared (NIR)-absorbing yarns. Although these yarns look similar to standard fibers in ambient light, they produce strong contrast in NIR imaging. Our method includes: (1) a design tool that helps users easily embed infrared markers into weaving drafts, (2) five disguising strategies that further reduce marker visibility under ambient light, and (3) a camera-based detection pipeline for decoding and tracking the woven markers. InvisIto supports both woven QR codes for data encoding and woven ArUco markers for binary input and deformation tracking. We demonstrate applications across hand weaving, Jacquard weaving, and industrial fabrication, showing that InvisIto supports scalable interaction and fabrication from bespoke artifacts to mass production.
