Points-connecting neural network ray tracing
Hiroshi Ohno, Takashi Usui
Abstract
Unsupervised neural network ray tracing (NNRT) to calculate a light ray path connecting given points in a gradient-index medium is proposed here. If two points are given, the NNRT can provide a light ray path passing through these points without knowledge of the light ray direction. Maxwell's fisheye lens having a spherical gradient-index is used to demonstrate how well the NNRT works. Light rays calculated using the NNRT are shown to trace an ideal path passing through given points.
Topics & Concepts
Ray tracing (physics)OpticsPath tracingRayPath (computing)Artificial neural networkTracingDistributed ray tracingComputer scienceGeometrical opticsTRACE (psycholinguistics)Beam tracingIdeal (ethics)PhysicsArtificial intelligenceLinguisticsOperating systemPhilosophyEpistemologyProgramming languageRendering (computer graphics)Visual perception and processing mechanismsOptical Polarization and EllipsometryComputer Graphics and Visualization Techniques