Abstract:Stereo rendering for 3D displays and for virtual reality headsets provide several visual cues, including convergence angle and highlight disparity. The human visual system interprets these cues to estimate surface properties of the displayed environment. Naïve stereo rendering effectively doubles the computational burden of image synthesis, and thus it is desirable to reuse as many computations as possible between the stereo image pair. Computing a single radiance for a point on a surface, to be used when synt… Show more
“…This prevents light (and dark) leaking artifacts and allows us to resolve centimeter-scale geometry at about the same cost (in space and time) as a voxel cone tracer that operates at meter-scale. As we target true world-space ray-tracing in a pixel shader, and not just screen-space ray tracing, our technique can be seen as a generalization of many previous, e.g., real-time environment map Monte Carlo integration methods [Stachowiak and Uludag 2015;Wyman 2005;Toth et al 2015;Jendersie et al 2016] .…”
Figure 1. Image rendered in a pre-release version of Unity with our global illumination technique. Most of the indirect lighting in this scene comes from emissives (the orange monitor screens) which are integrated automatically by our technique.
“…This prevents light (and dark) leaking artifacts and allows us to resolve centimeter-scale geometry at about the same cost (in space and time) as a voxel cone tracer that operates at meter-scale. As we target true world-space ray-tracing in a pixel shader, and not just screen-space ray tracing, our technique can be seen as a generalization of many previous, e.g., real-time environment map Monte Carlo integration methods [Stachowiak and Uludag 2015;Wyman 2005;Toth et al 2015;Jendersie et al 2016] .…”
Figure 1. Image rendered in a pre-release version of Unity with our global illumination technique. Most of the indirect lighting in this scene comes from emissives (the orange monitor screens) which are integrated automatically by our technique.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.