Eye modeling for human perception analysis in complex scenes (Invited Paper)

Simulating human visual perception is essential for evaluating optical systems’ performance in virtual environments when the ultimate sensor is the human eye. Due to eye anatomical complexity—including the iris, lens, cornea and retina— accurate eye modeling would be essential for complete analysis of optical system performance from a human eye perspective. This work shows a validation study of the Reduced-Order Model (ROM) of the human eye in Ansys Speos, benchmarked with a biologically representative eye model originally designed in Ansys Zemax OpticStudio, including all the parts of the eye anatomy based on description in literature. Using seamless data exchange between Ansys Optics tools, a direct comparison of perceptual metrics such as contrast sensitivity and depth perception accuracy has been done in this study and shows near perfect correlation between the two models across varied lighting conditions and various scenes. The result of this study offers ROM of the human eye as a fast and reliable solution suitable for analyzing optical system performance in complex environments such as near eye display. Indeed, this is an efficient solution for the design and optimization of human-centric systems for different applications in several industries including automotive, consumer electronics, healthcare, and medical research.