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With the rise of 3D content in medical applications, there is also an increasing need for 3D visualization solutions. Medical visualization solutions adhere to very strict quality standards and utilize advanced calibration schemes to guarantee the content is presented to the observer in the most optimal fashion. One crucial aspect of this calibration scheme is indicated by the Contrast Sensitivity Function (CSF). While this is investigated thoroughly for 2D displays, very little research has been performed to quantify CSF in 3D scenes. We have designed a perception experiment to quantify how human observers experience CSF on 3D displays. The experiment utilizes Gabor patches that are projected on a 3D scene. However, Gabor patches by themselves do not create enough depth cues for a human to properly fuse on by themselves. A stimulus was designed to ensure that the Gabor patch was fused on correctly so that the correct depth is perceived. The results show that human observers do perceive contrast in a slightly different fashion on a lenticular lens 3D display compared to 2D screens. The experiment shows that the observers become more sensitive for 3D when objects are placed further than the plane of the display and become less sensitive when objects are placed before the plane of the display. These results allow calibrating the scene so that the CSF is linearly perceived based on the content, similar to Grayscale Standard Display Function (GSDF) for 2D-displays.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Stijn Crul,Lode De Paepe, andTom Kimpe
"Stimulus design for 3D-CSF measurements and evaluation of its impact on the human visual system", Proc. SPIE 12929, Medical Imaging 2024: Image Perception, Observer Performance, and Technology Assessment, 129290X (29 March 2024); https://doi.org/10.1117/12.3002265
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Stijn Crul, Lode De Paepe, Tom Kimpe, "Stimulus design for 3D-CSF measurements and evaluation of its impact on the human visual system," Proc. SPIE 12929, Medical Imaging 2024: Image Perception, Observer Performance, and Technology Assessment, 129290X (29 March 2024); https://doi.org/10.1117/12.3002265