G-ID: Identifying 3D Prints Using Slicing Parameters
Mustafa Doga Dogan, Faraz Faruqi, Andrew Day Churchill, Kenneth Friedman, Leon Cheng, Sriram Subramanian, Stefanie Mueller
摘要
Figure 1. 3D printed objects inherently possess surface patterns due to the angle of the print path and the thickness of the trace the 3D printer lays down. G-ID exploits such features that would normally go unnoticed to identify unique instances of an object without the need to embed an obtrusive, additional tag. G-ID provides (a) a user interface for slicing individual instances of the same object with different settings and assigning labels to them. After (b) 3D printing, users can (c) identify each instance using the G-ID mobile app that uses image processing techniques to detect the slicing parameters and retrieve the associated labels.
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- InfraredTags: Embedding Invisible AR Markers and Barcodes Using Low-Cost, Infrared-Based 3D Printing and Imaging ToolsMustafa Doga Dogan, Ahmad Taka, Michael Lu, Yunyi Zhu 等CHI 2022 · 被引用 59 次
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- BrightMarker: 3D Printed Fluorescent Markers for Object TrackingMustafa Doga Dogan, Raul Garcia-Martin, Patrick William Haertel, Jamison John O'Keefe 等UIST 2023 · 被引用 22 次
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