Methods and tools for the quantification and improvement of measurement uncertainty in light field measurement  for projection systems

Projection-type optical systems, such as Head-Up Displays (HUDs), Virtual Reality (VR), and Augmented Reality (AR), provide immersive experiences in virtual worlds or ergonomically present supplementary information in real-world contexts. These systems play a crucial role in modifying the light emitted by imagers to generate virtual images in front of the user, greatly enhancing user engagement and interaction. In VR and AR applications, the immersive quality and usability of the system depend critically on the fidelity and stability of these virtual images. Central to these experiences is the concept of a virtual image, an image plane created in a space without physical representation. A virtual image typically arises when projection systems modify and direct light to form the perception of an object or scene at a specific location in space. However, a significant challenge in such optical systems is image distortion, which occurs as light passes through complex optical paths. A wide range of optical technologies including holograms, Fresnel lenses, traditional lenses, and mirror optics are employed to construct these systems. As images propagate through these elements, distortions can cause elements of the virtual image to be projected at varying distances. This results in visual inconsistencies that can disrupt the immersive experience. While the human visual system can often compensate for these distortions unconsciously, evidence shows that persistent image distortion may lead to discomfort, motion sickness, and headaches. These effects hinder long-term ergonomic usage and holistic user experience. Image distortion in these systems is inherently three-dimensional due to the complex arrangement of optical components. This 3D distortion is a major challenge for optical design, impacting device quality and user satisfaction, especially for AR applications. Accurately measuring and characterizing these distortions requires advanced methods. To address this, a light field measurement system has been developed, with the ability to reconstruct images and analyze spatial and angular light information far beyond the limits of human perception. This thesis addresses the sources and impacts of three-dimensional distortion in projection-type optical systems. It presents a comprehensive measurement methodology for evaluating image quality. By tackling these challenges and optimizing projection systems, this work contributes to improved user experience and long-term usability in next-generation immersive display technologies.

Subjects

HUD

AR

Light Field

Distortion

Light Field Reconstruction

DDC Class

621.3: Electrical Engineering, Electronic Engineering

Lizenz

https://creativecommons.org/licenses/by-sa/4.0/

Name

Shelam_Sravan_Methods-and-Tools-for-the-Quantification.pdf.pdf

Size

51.07 MB

Format

Adobe PDF

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Methods and tools for the quantification and improvement of measurement uncertainty in light field measurement for projection systems