A scalable diffraction-based scanning 3D colour video display as demonstrated by using tiled gratings and a vertical diffuser

Abstract A high quality 3D display requires a high amount of optical information throughput, which needs an appropriate mechanism to distribute information in space uniformly and efficiently. This study proposes a front-viewing system which is capable of managing the required amount of information efficiently from a high bandwidth source and projecting 3D images with a decent size and a large viewing angle at video rate in full colour. It employs variable gratings to support a high bandwidth distribution. This concept is scalable and the system can be made compact in size. A horizontal parallax only (HPO) proof-of-concept system is demonstrated by projecting holographic images from a digital micro mirror device (DMD) through rotational tiled gratings before they are realised on a vertical diffuser for front-viewing.

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Slim-panel holographic video display

Nature Communications ◽

10.1038/s41467-020-19298-4 ◽

2020 ◽

Vol 11 (1) ◽

Author(s):

Jungkwuen An ◽

Kanghee Won ◽

Young Kim ◽

Jong-Young Hong ◽

Hojung Kim ◽

...

Keyword(s):

Three Dimensional ◽

Viewing Angle ◽

Video Display ◽

Single Chip ◽

High Quality ◽

Computing Power ◽

Holographic Display ◽

Video Systems ◽

Video Processor ◽

Media Lab

AbstractSince its discovery almost 70 years ago, the hologram has been considered to reproduce the most realistic three dimensional images without visual side effects. Holographic video has been extensively researched for commercialization, since Benton et al. at MIT Media Lab developed the first holographic video systems in 1990. However, commercially available holographic video displays have not been introduced yet for several reasons: narrow viewing angle, bulky optics and heavy computing power. Here we present an interactive slim-panel holographic video display using a steering-backlight unit and a holographic video processor to solve the above issues. The steering-backlight unit enables to expand the viewing angle by 30 times and its diffractive waveguide architecture makes a slim display form-factor. The holographic video processor computes high quality holograms in real-time on a single-chip. We suggest that the slim-panel holographic display can provide realistic three-dimensional video in office and household environments.

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Full-parallax 3D display using time-multiplexing projection technology

Electronic Imaging ◽

10.2352/issn.2470-1173.2020.2.sda-100 ◽

2020 ◽

Vol 2020 (2) ◽

pp. 100-1-100-6

Author(s):

Takuya Omura ◽

Hayato Watanabe ◽

Naoto Okaichi ◽

Hisayuki Sasaki ◽

Masahiro Kawakita

Keyword(s):

Incident Light ◽

Polarization State ◽

3D Image ◽

3D Display ◽

Time Division Multiplexing ◽

3D Images ◽

Polarization Gratings ◽

Light Rays ◽

Time Division

We enhanced the resolution characteristics of a threedimensional (3D) image using time-division multiplexing methods in a full-parallax multi-view 3D display. A time-division light-ray shifting (TDLS) method is proposed that uses two polarization gratings (PGs). As PG changes the diffraction direction of light rays according to the polarization state of the incident light, this method can shift light rays approximately 7 mm in a diagonal direction by switching the polarization state of incident light and adjusting the distance between the PGs. We verified the effect on the characteristics of 3D images based on the extent of the shift. As a result, the resolution of a 3D image with depth is improved by shifting half a pitch of a multi-view image using the TDLS method, and the resolution of the image displayed near the screen is improved by shifting half a pixel of each viewpoint image with a wobbling method. These methods can easily enhance 3D characteristics with a small number of projectors.

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VOLUME MANIPULATION FOR SIMULATING FACIAL CONTOURING SURGERY

Biomedical Engineering Applications Basis and Communications ◽

10.4015/s1016237214500161 ◽

2014 ◽

Vol 26 (01) ◽

pp. 1450016 ◽

Cited By ~ 1

Author(s):

Ming-Dar Tsai ◽

Feng-Chou Tsai ◽

Chih-Lung Lin ◽

Ming-Shium Hsieh

Keyword(s):

Wound Healing ◽

Surgical Procedures ◽

Surgical Procedure ◽

Tissue Deformation ◽

Bone Morphology ◽

Facial Bone ◽

High Quality ◽

3D Images ◽

Case Examples ◽

The Face

In facial contouring surgery, surgeons operate the facial bone to correct bone morphology and thus achieve esthetic feminine face. To evaluate the face appearance after surgery and rehearse every surgical procedure in facial contouring surgery, simulations for tissue peeling, incising and suturing on the face together with bone burring and grafting on the facial bone are required. This paper presents a method that transforms respective tissue vertices to simulate tissue peeling. The transformation is based on specified incisions and clamps as in real facial contouring surgery. This paper also uses an auxiliary structure to represent and record tissue boundary changes inside the face. The elastic, partially plastic and plastic tissue deformation and wound formation during an incision can be simulated by manipulating these boundary changes. The incised wound recorded in the auxiliary structure is also manipulated to simulate tissue generation in wound healing during a suture. This volume manipulation method is combined with the reported method for bone burring and grafting simulations so that high-quality 3D images for illustrating surgical procedures both on the face and facial bone can be achieved. Simulations of two case examples including tissue peeling, incising and suturing procedures, and three modalities of facial contouring surgery demonstrate the effectiveness of the proposed method and system.

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Composing Questions through Conceptual Authoring

Computational Linguistics ◽

10.1162/coli.2007.33.1.105 ◽

2007 ◽

Vol 33 (1) ◽

pp. 105-133 ◽

Cited By ~ 26

Author(s):

Catalina Hallett ◽

Donia Scott ◽

Richard Power

Keyword(s):

Natural Language ◽

Question Answering ◽

Free Text ◽

Risk Averse ◽

Proof Of Concept ◽

Concept System ◽

Complex Queries ◽

Extensive Training ◽

Question Answering Systems ◽

Medical Histories

This article describes a method for composing fluent and complex natural language questions, while avoiding the standard pitfalls of free text queries. The method, based on Conceptual Authoring, is targeted at question-answering systems where reliability and transparency are critical, and where users cannot be expected to undergo extensive training in question composition. This scenario is found in most corporate domains, especially in applications that are risk-averse. We present a proof-of-concept system we have developed: a question-answering interface to a large repository of medical histories in the area of cancer. We show that the method allows users to successfully and reliably compose complex queries with minimal training.

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P‐82: Viewing‐Angle Enhanced 3D Display Based on Lens Array Holographic Optical element

SID Symposium Digest of Technical Papers ◽

10.1002/sdtp.13238 ◽

2019 ◽

Vol 50 (1) ◽

pp. 1543-1546

Author(s):

Han-Le Zhang ◽

Sai Li ◽

Min-Yang He ◽

Huan Deng ◽

Da-Hai Li ◽

...

Keyword(s):

Optical Element ◽

Viewing Angle ◽

3D Display ◽

Lens Array ◽

Holographic Optical Element

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Emotion Recognition in Horses with Convolutional Neural Networks

Future Internet ◽

10.3390/fi13100250 ◽

2021 ◽

Vol 13 (10) ◽

pp. 250

Author(s):

Luis A. Corujo ◽

Emily Kieson ◽

Timo Schloesser ◽

Peter A. Gloor

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Intelligent Systems ◽

High Accuracy ◽

Eye Position ◽

Proof Of Concept ◽

Concept System ◽

Validation Set ◽

Fast Region ◽

Head Neck

Creating intelligent systems capable of recognizing emotions is a difficult task, especially when looking at emotions in animals. This paper describes the process of designing a “proof of concept” system to recognize emotions in horses. This system is formed by two elements, a detector and a model. The detector is a fast region-based convolutional neural network that detects horses in an image. The model is a convolutional neural network that predicts the emotions of those horses. These two elements were trained with multiple images of horses until they achieved high accuracy in their tasks. In total, 400 images of horses were collected and labeled to train both the detector and the model while 40 were used to test the system. Once the two components were validated, they were combined into a testable system that would detect equine emotions based on established behavioral ethograms indicating emotional affect through the head, neck, ear, muzzle, and eye position. The system showed an accuracy of 80% on the validation set and 65% on the test set, demonstrating that it is possible to predict emotions in animals using autonomous intelligent systems. Such a system has multiple applications including further studies in the growing field of animal emotions as well as in the veterinary field to determine the physical welfare of horses or other livestock.

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