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Ray tracing 3D spectral scenes through human optics models.

Trisha Lian1, Kevin J MacKenzie2, David H Brainard3

  • 1Department of Electrical Engineering, Stanford University, Palo Alto, CA, USA.

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|October 29, 2019
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Summary
This summary is machine-generated.

Scientists developed ISET3d software to simulate 3D vision, modeling how light forms images on the retina. This tool enhances understanding of visual perception and optics for various display technologies.

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Area of Science:

  • Computational Vision
  • Optical Engineering
  • Human Visual System Modeling

Background:

  • Existing software (ISETBio) modeled image formation for 2D scenes.
  • Characterizing early visual processing requires simulating 3D environments.

Purpose of the Study:

  • To extend ISETBio for simulating image formation in 3D scenes.
  • To quantify the impact of physiological optics on 3D image perception.

Main Methods:

  • Utilized a quantitative computer graphics program for ray tracing scene radiance.
  • Simulated image formation through physiological optics to retinal irradiance for model eyes.
  • Integrated ISET3d with ISETBio to calculate cone excitations.

Main Results:

  • Successfully implemented and validated ISET3d for 3D scene image formation.
  • Quantified the influence of physiological optics parameters on 3D retinal images.
  • Demonstrated conversion of retinal irradiance to cone excitations.

Conclusions:

  • ISET3d enables prediction of visual system responses to complex 3D scenes.
  • The software aids in evaluating visual occlusion and binocular vision information.
  • Applicable to near-field and augmented reality display retinal image analysis.