Poster + Paper
18 June 2024 How to measure a subpixel displacement
Author Affiliations +
Conference Poster
Abstract
Object tracking with subpixel accuracy is crucial in experiments where the object’s apparent movement on the camera sensor is very small. This situation can occur when the movement is inherently minimal or when it takes place at a significant distance from the camera. Achieving accuracies beyond 0.01 pixels requires careful planning and noise cancellation to obtain precise and consistent results. Therefore, it is imperative to meticulously design experiments in the laboratory to determine the true performance under the best possible conditions.

To achieve high subpixel accuracy, it is necessary to find a balance among the camera's features, the object to camera distance, and the object’s speed. These parameters collectively define the final pixel-to-millimeter ratio, which ultimately determines the method’s accuracy.

Additionally, selecting the appropriate algorithm is fundamental for accurately determining the target’s position. In our case, we employ normalized cross-correlation between images with analytic interpolation of the correlation peak.

A drawback of subpixel tracking approach is that tracking targets with subpixel accuracy makes the system highly sensitive to thermal errors. Heating of the electronics can lead to the expansion of the camera casing and sensor, resulting in drifts and distortions in the final image.

In our presentation, we will show different combinations that ensure precise subpixel accuracy while accounting for observed thermal distortions. Following our results with Basler cameras, our recommendation is to use the lowest target speed with a temporal resolution to achieve an apparent interframe shift of less than 0.004 pixels and at least 2 hours of stabilization time.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
María-Baralida Tomás, Belén Ferrer, and David Mas "How to measure a subpixel displacement", Proc. SPIE 12998, Optics, Photonics, and Digital Technologies for Imaging Applications VIII, 1299815 (18 June 2024); https://doi.org/10.1117/12.3012470
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KEYWORDS
Cameras

Sensors

Motion detection

Spatial resolution

Target detection

Temporal resolution

Calibration

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