Registration as a warping method for optotypes towards human vision

The central question guiding this research is whether it is possible to adjust the projection within the field of view (FoV) of the human vision in Head-Up Displays (HUD) towards zero deviations from a design pattern. This paper investigates a method to analyse the quantitative characteristics of a spatial Head-Up Display signal, with the aim of determining whether a best practice of projecting alignment based on a phase-shifting algorithm has any deviations.The analysed signal was derived within a one-factor-at-a-time experimental design for an optimization. Despite the research demonstrating the amount of information that can be extracted from the signal, further questions must be addressed. These include the ability of a human vision system to perceive the residuals of the deviations and the correct scaling of the obtained information by the transformed signal. A possible solution for the calibration and adjustment process is outlined,but further assessment and quantification of the process is required to ensure optimal results.

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Publication Details

Published
2025-09-24
DOI
https://doi.org/10.58895/ksp/1000179597-10
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Registration as a warping method for optotypes towards human vision

Oliver Veitl
Industrial Vision Systems and Defect Detection
article

Registration as a warping method for optotypes towards human vision

Oliver Veitl
article en

Abstract

The central question guiding this research is whether it is possible to adjust the projection within the field of view (FoV) of the human vision in Head-Up Displays (HUD) towards zero deviations from a design pattern. This paper investigates a method to analyse the quantitative characteristics of a spatial Head-Up Display signal, with the aim of determining whether a best practice of projecting alignment based on a phase-shifting algorithm has any deviations.The analysed signal was derived within a one-factor-at-a-time experimental design for an optimization. Despite the research demonstrating the amount of information that can be extracted from the signal, further questions must be addressed. These include the ability of a human vision system to perceive the residuals of the deviations and the correct scaling of the obtained information by the transformed signal. A possible solution for the calibration and adjustment process is outlined,but further assessment and quantification of the process is required to ensure optimal results.

Openalex Percentile: Top 63%
Industrial Vision Systems and Defect Detection
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