Floating aerial LED signage based on aerial imaging by retro-reflection (AIRR)

Yamamoto, Hirotsugu; Tomiyama, Yuka; Suyama, Shiro

doi:10.1364/oe.22.026919

Cited by 150 publications

(50 citation statements)

References 6 publications

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“…half silvered mirrors) between the user and the image [11,19,26,30,32] hinder reachability and interaction. Retro-reflective imaging [43,46] allows for reachable floating images by combining off-the-shelf beam splitters and retro-reflectors. Instead, HaptoMime [23] uses Aerial Imaging Plate (AIP) providing similar affordances.…”

Section: Light Converging Opticsmentioning

confidence: 99%

MistForm

Tokuda

Norasikin

Subramanian

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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Figure 1. (A) MistForm is a shape-changing fog screen, enabling single user and two user interaction (B) with 2D or 3D content. (C) We describe a computational approach and projection algorithm which work together to minimize artifacts (shape distortion and uneven brightness) related to projecting on a shape changing fog display (note parallel edges and brightness in the checkerboard). ABSTRACTWe present MistForm, a shape changing fog display that can support one or two users interacting with either 2D or 3D content. Mistform combines affordances from both shape changing interfaces and mid-air displays. For example, a concave display can maintain content in comfortable reach for a single user, while a convex shape can support several users engaged on individual tasks. MistForm also enables unique interaction possibilities by exploiting the synergies between shape changing interfaces and mid-air fog displays. For instance, moving the screen will affect the brightness and blurriness of the screen at specific locations around the display, creating spaces with similar (collaboration) or different visibility (personalized content). We describe the design of MistForm and analyse its inherent challenges, such as image distortion and uneven brightness on dynamic curved surfaces. We provide a machine learning approach to characterize the shape of the screen and a rendering algorithm to remove aberrations. We finally explore novel interactive possibilities and reflect on their potential and limitations.

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Section: Light Converging Opticsmentioning

confidence: 99%

MistForm

Tokuda

Norasikin

Subramanian

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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“…Floating images: Aerial Imaging by RetroReflection (AIRR) is a system that gives the illusion of a floating image, based on a beam splitter, a retroreflective surface, and a flat screen [33,28], which can be associated to a projector array [34]. However, these approaches are designed to create a floating image, and have not been used to augment real-world objects' surfaces.…”

Section: Related Workmentioning

confidence: 99%

“…When a ray hits the beam splitter, it is separated into two different rays, the first one passing through the beam splitter, while the second one is reflected at 90 • . However, contrary to [34,33,28], we align the light source and the viewpoint. Since the retroreflective film is placed at 45 • from the beam splitter, the reflected ray will be sent back to the beam splitter, and be separated again into two different rays.…”

Section: Indirect Retroreflectionmentioning

confidence: 99%

EgoSAR: Towards a Personalized Spatial Augmented Reality Experience in Multi-user Environments

Ridel

Mignard-Debise

Granier

et al. 2016

2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)

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(a) active scenario (b) passive scenario (c) augmentations Figure 1: Our vision of EgoSAR. (a) In an active scenario, the users are wearing or holding a projector that augments a real artifact in a personalized way: the respective augmentation can only be seen by themselves. (b) In a passive scenario, the users look at a real object from predefined viewpoints. Each viewpoint offers a different augmentation and is thus personalized. (c) In both scenarios, the real-world object and the personalized virtual information are visible. The view-dependent personalized information such as curvatures can be superimposed on the object (c-top) or shown aside, for example for annotations (c-bottom).

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“…Three-dimensional (3D) displays have attracted considerable attention in the digital signage 1 , 2 , entertainment 3 and medical fields 4 – 6 . Holography 7 , 8 is a 3D display technique that can display a natural 3D image close to an actual object and does not require scanning and synchronisation processing because it records and reconstructs light waves emitted from the object via light interference and diffraction.…”

Section: Introductionmentioning

confidence: 99%

Interactive Holographic Display Based on Finger Gestures

Yamada

Kakue

Shimobaba

et al. 2018

Sci Rep

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In this paper, we demonstrate an interactive, finger-sensitive system which enables an observer to intuitively handle electro-holographic images in real time. In this system, a motion sensor detects finger gestures (swiping and pinching) and translates them into the rotation and enlargement/reduction of the holographic image, respectively. By parallelising the hologram calculation using a graphics processing unit, we realised the interactive handling of the holographic image in real time. In a demonstration of the system, we used a Leap Motion sensor and a phase modulation-type spatial light modulator with 1,920 × 1,080 pixels and a pixel pitch of 8.0 µm × 8.0 µm. The constructed interactive finger-sensitive system was able to rotate a holographic image composed of 4,096 point light sources using a swiping gesture and enlarge or reduce it using a pinching gesture in real time. The average calculation speed was 27.6 ms per hologram. Finally, we extended the constructed system to a full-colour reconstruction system that generates a more realistic three-dimensional image. The extended system successfully allowed the handling of a full-colour holographic image composed of 1,709 point light sources with a calculation speed of 22.6 ms per hologram.

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Floating aerial LED signage based on aerial imaging by retro-reflection (AIRR)

Cited by 150 publications

References 6 publications

MistForm

MistForm

EgoSAR: Towards a Personalized Spatial Augmented Reality Experience in Multi-user Environments

Interactive Holographic Display Based on Finger Gestures

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