DISPLAY WEEK / SPECIAL TOPICS

SPECIAL TOPICS


   2020 Program

   2020 Special Topics

 

 

This special topic covers the technologies and applications in the emerging areas of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR). These sessions will bring together scientists, engineers, business professionals, market analysts, and industry leaders involved in AR, VR, and MR technologies, products, applications, advanced developments, and emerging trends. AR/VR/MR topics include, but are not limited to, the following:

•  AR, VR, and MR Systems and Applications
•  Display Technologies for AR, VR, and MR Systems
•  Spatial Sensing and Imaging Technologies
•  Tracking, Localization, Mapping, and Navigation Techniques
•  Computation, Graphics, and Display Processing
•  Mapping and Rendering of Virtual Objects onto the Physical World
•  Immersive Audio Technologies
•  End-to-End System Integration and Latencies
•  Inputs, Interfaces, and Interactions
•  Human Factors and User Experience
•  Object, Human, and Scene Capture; Reconstruction, Recognition, and Understanding
•  Machine Learning Techniques Including Deep Neural Networks
•  Eye Tracking, Biometrics, and User Authentication

This special topic covers technologies that are being developed for high-dynamic-range (HDR) applications to enable high luminance, very-high-contrast LCDs with deep, OLED-like black levels and long lifetimes.  Two new leading HDR LCD technologies are 1) LCDs with miniLED backlights and 2) dual-cell LCDs.  MiniLED backlight technology utilizes high-density, precision-positioned LEDs on a substrate behind the LCD panel.  Dual-cell technology consists of two LCD panels stacked together in a single display.

The evolution of new computing technologies and the availability of big data are boosting machine learning (ML) and deep learning in different fields. The special topic on ML covers the applications of machine learning in all aspects of display technologies and manufacturing. These sessions bring together display experts and ML experts to explore opportunities to solve challenging display problems with the right ML techniques. Machine Learning topics include, but are not limited to, the following:

•  Techniques in Graphics, Image Processing, and Computer Vision
•  Applications in Enhancing Display Technology
•  For AR/VR in Developing Featured Machines
•  In Display Manufacturing
•  In Display Measurement
•  For Human Visual Perception in Displays
•  For Interactive Technology

This special topic covers printed displays, printed key display components, novel printable materials, printing display manufacturing processes, and other printed display related topics. Traditionally, most display components (electrooptic elements, TFTs, etc.) have been fabricated using a multitude of conventional processes. The use of printing techniques allows displays to be fabricated on a variety of substrates at low cost. In addition, printing provides a simple way to generate patterns with high material utilization. Conventionally, the term “printing” connotes a non-vacuum deposition process capable of creating a pattern. Examples include screen printing, ink-jet printing, and contact processes such as gravure and offset printing methods. However, vacuum-combined printing processes, such as transfer printing or donor-sheet transfer processes, may also be of interest for particular materials or layers. Printed Displays topics include, but are not limited to, the following:

•  Printed AMOLED Displays
•  Printed QD-LED Materials and Devices
•  Printed TFTs
•  Novel Solution-Process Charge-Transport Materials
•  Solution-Process OLED Materials and Devices
•  Solution-Process Bus-Line or Transparent Electrodes
•  Printed QD Materials for PL and EL Applications
•  Novel Printing/Patterning Techniques
•  Novel Printing Equipment and Processes
•  Transfer Printing of MicroLED Displays

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