Gordon Wetzstein, Doctoral Dissertation Advisor (AC)
Unfiltered holography: optimizing high diffraction orders without optical filtering for compact holographic displays
2021; 46 (23): 5822-5825
Computer-generated holography suffers from high diffraction orders (HDOs) created from pixelated spatial light modulators, which must be optically filtered using bulky optics. Here, we develop an algorithmic framework for optimizing HDOs without optical filtering to enable compact holographic displays. We devise a wave propagation model of HDOs and use it to optimize phase patterns, which allows HDOs to contribute to forming the image instead of creating artifacts. The proposed method significantly outperforms previous algorithms in an unfiltered holographic display prototype.
View details for DOI 10.1364/OL.442851
View details for Web of Science ID 000722896900011
View details for PubMedID 34851899
- Speckle-free holography with partially coherent light sources and camera-in-the-loop calibration. Science advances 2021; 7 (46): eabg5040
- Optimizing image quality for holographic near-eye displays with Michelson Holography OPTICA 2021; 8 (2): 143–46
- High-quality holographic displays using double SLMs and camera-in-the-loop optimization SPIE-INT SOC OPTICAL ENGINEERING. 2021
- Neural Holography with Camera-in-the-loop Training ACM TRANSACTIONS ON GRAPHICS 2020; 39 (6)
Volumetric Head-Mounted Display with Locally Adaptive Focal Blocks.
IEEE transactions on visualization and computer graphics
A commercial head-mounted display (HMD) for virtual reality (VR) presents three-dimensional imagery with a fixed focal distance. The VR HMD with a fixed focus can cause visual discomfort to an observer. In this work, we propose a novel design of a compact VR HMD supporting near-correct focus cues over a wide depth of field (from 18 cm to optical infinity). The proposed HMD consists of a low-resolution binary backlight, a liquid crystal display panel, and focus-tunable lenses. In the proposed system, the backlight locally illuminates the display panel that is floated by the focus-tunable lens at a specific distance. The illumination moment and the focus-tunable lens' focal power are synchronized to generate focal blocks at the desired distances. The distance of each focal block is determined by depth information of three-dimensional imagery to provide near-correct focus cues. We evaluate the focus cue fidelity of the proposed system considering the fill factor and resolution of the backlight. Finally, we verify the display performance with experimental results.
View details for DOI 10.1109/TVCG.2020.3011468
View details for PubMedID 32746283
- Neural Holography ASSOC COMPUTING MACHINERY. 2020
- Tomographic Projector: Large Scale Volumetric Display with Uniform Viewing Experiences ACM TRANSACTIONS ON GRAPHICS 2019; 38 (6)
Optimal binary representation via non-convex optimization on tomographic displays
2019; 27 (17): 24362–81
There have been many recent developments in 3D display technology to provide correct accommodation cues over an extended focus range. To this end, those displays rely on scene decomposition algorithms to reproduce accurate occlusion boundaries as well asretinal defocus blur. Recently, tomographic displays have been proposed with improved trade-offs of focus range, spatial resolution, and exit-pupil. The advantage of the system partly stems from a high-speed backlight modulation system based on a digital micromirror device, which only supports 1-bit images. However, its inherent binary constraint hinders achieving the optimal scene decomposition, thus leaving boundary artifacts. In this work, we present a technique for synthesizing optimal imagery of general 3D scenes with occlusion on tomographic displays. Requiring no prior knowledge of the scene geometry, our technique addresses the blending issue via non-convex optimization, inspired by recent studies in discrete tomography. Also, we present a general framework for this rendering algorithm and demonstrate the utility of the technique for volumetric display systems with binary representation.
View details for DOI 10.1364/OE.27.024362
View details for Web of Science ID 000482098300060
View details for PubMedID 31510326