Xiaodan Hu
Nara Institute of Science and Technology
8 Papers
7 Citations
Xiaodan Hu is an academic researcher from Nara Institute of Science and Technology. The author has contributed to research in topics: Computer science & Liquid crystal on silicon. The author has co-authored 2 publications.
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Papers
Optical see-through augmented reality displays with wide field of view and hard-edge occlusion by using paired conical reflectors.
TL;DR: In this article, a double-parabolic-mirror structure was proposed to render hard-edge occlusion within a wide FOV, which increased the numerical aperture of the system significantly and the usage of paired parabolic mirrors eliminated most optical aberrations.
10
Design and Prototyping of Computational Sunglasses for Autism Spectrum Disorders
Xiaodan Hu,Yan Zhang,Naoya Isoyama,Nobuchika Sakata,Kiyoshi Kiyokawa +4 more
- 01 Mar 2021
TL;DR: In this paper, the computational sunglasses for individuals with autism spectrum disorders (ASDs) are designed to alleviate the atypical visual perceptions caused by their unique light sensitivities, and an appropriate occlusion pattern is calculated in real-time then displayed on a spatial light modulator (SLM) to modulate the contrast of the incoming scene.
5
ReAR - A Peripheral Indicator for Rear-Approaching Vehicles While Cycling
Guanghan Zhao,Xiaodan Hu,Jason Orlosky,Kiyoshi Kiyokawa +3 more
- 16 Oct 2023
TL;DR: Results from a virtual reality based experiment showed that the ReAR Indicator helped cyclists maintain a forward focus while still avoiding collisions with rear-approaching vehicles and in some conditions either matched or outperformed 3D arrows and virtual monitors.
1
Add-on Occlusion: Building an Occlusion-capable Optical See-through Head-mounted Display with HoloLens 1
Yan Zhang,Xiaodan Hu,Kiyoshi Kiyokawa,Xubo Yang +3 more
- 01 Mar 2023
TL;DR: In this paper , the authors provide HoloLens 1, which is one of the most widely used OSTHMDs, with a novel add-on occlusion device to build an occlusionscapable optical see-through head-mounted display (OC-OSTHMD).
Retinotopic Foveated Rendering
Yan Zhang,Keyao You,Xiaodan Hu,Hangyu Zhou,Kiyoshi Kiyokawa,Xubo Yang +5 more
- 16 Mar 2024
TL;DR: This paper begins with functional magnetic resonance imaging data, construct an anisotropic CMF model of the human visual system, and introduces the first radially asymmetric regression model of the rendering precision for FR applications, which is conducted to enhance the rendering performance of VR.