Authors:
Timo Viitanen
;
Matias Koskela
;
Kalle Immonen
;
Markku Mäkitalo
;
Pekka Jääskeläinen
and
Jarmo Takala
Affiliation:
Tampere University of Technology, Finland
Keyword(s):
Ray Tracing, Sparse Sampling, Image Reconstruction.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
High-Performance Computing and Parallel Rendering
;
Lighting and Appearance
;
Real-Time Rendering
;
Rendering
;
Rendering Algorithms
;
Systems and Software Architectures for Rendering
Abstract:
Ray tracing is an interesting rendering technique, but remains too slow for real-time applications. There are
various algorithmic methods to speed up ray tracing through uneven screen-space sampling, e.g., foveated
rendering where sampling is directed by eye tracking. Uneven sampling methods tend to require at least one
sample per pixel, limiting their use in real-time rendering. We review recent work on image reconstruction
from arbitrarily distributed samples, and argue that these will play major role in the future of real-time ray
tracing, allowing a larger fraction of samples to be focused on regions of interest. Potential implementation
approaches and challenges are discussed.