InfraStructs

Willis, Karl D. D.; Wilson, Andrew

doi:10.1145/2461912.2461936

Cited by 75 publications

(8 citation statements)

References 37 publications

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“…Using the built-in magnetometer, it is possible to infer whether a surface is solid metal or it is just covered with metallic paint. Potential solutions may be combining with other types of sensing technique, such as using radar-based systems [22] or Terahertz imaging system [19].…”

Section: Limitation and Future Workmentioning

confidence: 99%

SpeCam

Yeo

Lee

Bianchi

et al. 2017

Proceedings of the 19th International Conference on Human-Computer Interaction With Mobile Devices and Services

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SpeCam is a lightweight surface color and material sensing approach for mobile devices which only uses the front-facing camera and the display as a multi-spectral light source. We leverage the natural use of mobile devices (placing it facedown) to detect the material underneath and therefore infer the location or placement of the device. SpeCam can then be used to support discreet micro-interactions to avoid the numerous distractions that users daily face with today's mobile devices. Our two-parts study shows that SpeCam can i) recognize colors in the HSB space with 10 degrees apart near the 3 dominant colors and 4 degrees otherwise and ii) 30 types of surface materials with 99% accuracy. These findings are further supported by a spectroscopy study. Finally, we suggest a series of applications based on simple mobile micro-interactions suitable for using the phone when placed face-down.

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Section: Limitation and Future Workmentioning

confidence: 99%

SpeCam

Yeo

Lee

Bianchi

et al. 2017

Proceedings of the 19th International Conference on Human-Computer Interaction With Mobile Devices and Services

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“…Sharing a similar goal to our approach, Willis et al [40] used Terahertz (THz) imaging devices to scan internal structures of 3D printed objects. While demonstrating promising results, these methods require expensive imaging equipment and are limited by a relatively low spatial imaging resolution (e.g., 30×30 as reported in [40]). In contrast, AirCode tags can be captured by a conventional, low-cost camera system and produce high-resolution images of the tags.…”

Section: Related Workmentioning

confidence: 99%

AirCode

Nair

Nayar

et al. 2017

Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology

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air pocket optimization fabricated model AirCode embeded input mesh user-specified region & data goo.gl/1ph6g2 global component a c d e b Figure 1. (a) AirCode tagging tool takes as inputs a mesh, a user-specified region, and embedded data. (b) It first determines the air pocket parameters, including the depth d and thickness h, for a fabrication material. (c) An AirCode tag is embedded inside the object, without changing its geometry or appearance. (d) The fabricated tag is invisible under environmental lighting. (e) Using our imaging system that separates out the global scattering effects, the user detects the embedded tag and retrieve the data. "Moai" by gravityisweak / CC BY 3.0 / modified from original. ABSTRACTWe present AirCode, a technique that allows the user to tag physically fabricated objects with given information. An Air-Code tag consists of a group of carefully designed air pockets placed beneath the object surface. These air pockets are easily produced during the fabrication process of the object, without any additional material or postprocessing. Meanwhile, the air pockets affect only the scattering light transport under the surface, and thus are hard to notice to our naked eyes. But, by using a computational imaging method, the tags become detectable. We present a tool that automates the design of air pockets for the user to encode information. AirCode system also allows the user to retrieve the information from captured images via a robust decoding algorithm. We demonstrate our tagging technique with applications for metadata embedding, robotic grasping, as well as conveying object affordances.

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“…The authors describe a method to extract information on internal structural properties like cavities in objects by the utilisation of far-infrared light. A similar method is introduced by Willis and Wilson [14] which is called InfraStructs and relies on the detection of mixed-material detection using Terahertz radiation.…”

Section: Related Workmentioning

confidence: 99%

“…Structural alterations on the surface are prohibitive in cases that require the verbatim reproduction of the model data. As an alternative to these methods, internal structural changes for watermarking purposes are possible, as described in Willis and Wilson [14].…”

Section: Theorymentioning

confidence: 99%

Watermarking for Fused Deposition Modeling by Seam Placement

Baumann

Roller

2017

MATEC Web Conf.

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Abstract.With the increased usage and application of 3D-printing or Additive Manufacturing (AM) the question arises of how content providers or creators can ensure their intellectual property on such model data. Similar to other digital media such object information that is represented in a number of file formats is easy to copy and reproduce lossless. This research contributes by a proposition of a watermarking schema for Fused Deposition Modeling (FDM) type 3D-printers. This system embeds information into the 3D-printed object without alterations to the structure or geometry by altering the entry points of each layer in a specific manner. With such a watermarking schema employed objects can be embedded with additional information such as a serial number or other traceable information.

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InfraStructs

Cited by 75 publications

References 37 publications

SpeCam

SpeCam

AirCode

Watermarking for Fused Deposition Modeling by Seam Placement

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