Results 101 to 110 of about 5,099,090 (216)
Holographic Mapping of Orbital Angular Momentum using a Terahertz Diffractive Optical Neural Network
A compact six‐layer diffractive optical neural network enables direct recognition and spatial mapping of terahertz (THz) orbital angular momentum (OAM) beams. Fabricated by 3D printing, the system distinguishes nine OAM modes and their superpositions with high fidelity, good efficiency, and low crosstalk, offering a scalable solution for THz ...
Wei Jia +3 more
wiley +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
ITERATIVE INTERLACING ERROR DIFFUSION FOR SYNTHESIS OF COMPUTER-GENERATED HOLOGRAMS [PDF]
The iterative interlacing error diffusion (IIED) technique consists of th,e combination of the error diffusion (ED) and the modified iterative interlacing (IIT) techniques to synthesize computer-generated holograms.
Ersoy, O. K., Chang, M. P.
core
Rotational control of computer generated holograms
We develop a basis for three-dimensional rotation of arbitrary light fields created by computer generated holograms. By adding an extra phase function into the kinoform, any light field or holographic image can be tilted in the focal plane with minimized
Halina Rubinsztein-Dunlop +3 more
core +1 more source
A fast hologram calculation approach is proposed to reduce computational load by avoiding the recalculation of redundancy information. In the proposed method, the hologram is divided into several sub‐holograms that record and reconstruct different views ...
Jia Jia, Jhensi Chen, Daping Chu
doaj +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source
AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit +8 more
wiley +1 more source
Holo-U2Net for High-Fidelity 3D Hologram Generation
Traditional methods of hologram generation, such as point-, polygon-, and layer-based physical simulation approaches, suffer from substantial computational overhead and generate low-fidelity holograms.
Tian Yang, Zixiang Lu
doaj +1 more source
Abstract Mixed reality (MR) using head‐mounted displays provides three‐dimensional visualizations that have been suggested to enhance learning when used alongside conventional anatomy teaching in medical education. This study explored student perceptions of the integration of MR and traditional cadaveric learning, and their optimal delivery to support ...
Harpreet Kasbia +12 more
wiley +1 more source
Computer Generated Holograms Designed to Reduce Intensity Fluctuations During SLM Update
We have investigated design criteria for calculation of computer generated holograms, aiming to reduce the deterioration of the spot pattern during SLM updates.
Backsten, Jan, +20 more
core +1 more source

