Presentation + Paper
7 June 2024 Developing new measurements through modeling and simulation: camera to display latency measurements
Author Affiliations +
Abstract
This manuscript presents a systematic approach for developing new measurements and evaluation techniques through modeling and simulation. A proposed sequence of steps is outlined, starting with defining the desired measurable(s), going through model development and exploration, conducting experiments, and publishing results. This framework, based on the scientific method, provides a structured process for creating robust, well-defined measurement procedures before experiments are performed. The approach is demonstrated through a case study on measuring camera-to-display system latency. A simulation tool is described that enables exploration of how different experimental parameters like camera temporal response, display properties, and source characteristics impact the measurement and associated uncertainties. Several examples illustrate using the tool to establish notional guidelines for optimizing the experimental design. The simulation-driven process aims to increase confidence in new measurement techniques by incrementally refining models, identifying assumptions, and evaluating potential error sources prior to costly physical implementation. In support of the reproducible research effort, the tools developed for this effort are available on the MathWorks file exchange.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
David P. Haefner, Aaron Hendrickson, and Stephen D. Burks "Developing new measurements through modeling and simulation: camera to display latency measurements", Proc. SPIE 13045, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXV, 1304507 (7 June 2024); https://doi.org/10.1117/12.3012327
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KEYWORDS
Visualization

Imaging systems

Performance modeling

Sampling rates

Visual process modeling

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