Session Index

3D Visual positioning is a critical function in applications such as navigation and extended reality (XR) experiences. Recently, machine learning technologies have been actively applied to the positioning task. In this talk, advances in machine learning-based 3D visual positioning will be firstly introduced. Also, our latest works on 3D point cloud mapping and simultaneous localization and mapping (SLAM) acceleration will be presented. By utilizing a branch convolutional neural network (B-CNN) model, the "zoom-in" equivalent property results in favorable positioning accuracy and successful real-time implementation. Furthermore, deep neural networks can also be utilized to predict the iteration outcomes from the bundle adjustment (BA) in SLAM and achieve the same level of accuracy in a much shorter period.

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This study proposed an HMD based on curved holographic waveguide which consists of a cylindrical curved glass waveguide and two HOEs. A suitable coupling direction is selected to construct the cylindrical curved waveguide display. Astigmatism aberration induced by the cylindrical curved waveguide is compensated by the cylindrical lens. The FOV of this system achieve to 11.02° in the horizontal direction and 24.28° in the vertical direction.

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The major challenges of augmented reality (AR) systems and virtual reality(VR) systems are varifocal images for vergence accommodation conflict (VAC) and vision corrections. We design a liquid crystal (LC) lens set consisting of three LC lenses for varifocal images and vision corrections in AR and VR. Four operating modes of such a LC lens set present three electrically tunable lens powers:0, -0.79,-2,and-3.06 diopters. We also demonstrate AR and VR systems by adopting the LC lens set to exhibit functions of varifocal images and vision corrections which enable to solve VAC as well as vision problem in AR and VR.

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We propose a novel method of single-shot fringe projection incoherent digital holography to perform three-dimensional (3-D) diffused face detection. Preliminary results show that the combination of incoherent digital holography and fringe projection profilometry can perform wide field of view and fast 3-D surface imaging of a simulating facial model under incoherent or white light source illumination.

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We have described the design process of the diffractive waveguide for augmented reality display, capturing the link between the ray-tracing result and the choice of the grating structure. Our design process uses computation-guided rules derived from ray-tracing and diffraction theory, which produces designs that fulfill critical requirements such as field of view, high diffraction efficiency, image uniformity, and a compact layout. Practically, we have designed a display with over 40 degrees field of view and with a 12 by 10 mm eye box. Furthermore, the design process is robust and applicable to most AR design architectures.

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In this paper, we demonstrate design and operation principle of holographic waveguide for augmented reality by using volume holographic optical element (VHOEs). The optical experiments have been performed to demonstrate our recursive inference. Then, we propose a novel optical scheme to increase the field of view of a full-color VHOE-based waveguide with 2D eye-box expansion.

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We apply light field technique for our mixed reality (MR) glasses design. For light field display, resolution loss is a major issue we need to conquer. In this study, preliminary experiment for light field design is presented, and an important condition for light field resolution analysis is also proposed.

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