1. Spatially varying image based lighting using HDR-video
- Author
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Joakim Löw, Jonas Unger, Per Larsson, Stefan Gustavson, Joel Kronander, and Anders Ynnerman
- Subjects
Scene capture and processing ,Computer science ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Signalbehandling ,Volumetric lighting ,Rendering (computer graphics) ,Computer graphics ,Mediateknik ,Data visualization ,image based lighting ,Media Engineering ,Computer graphics (images) ,Computer vision ,High dynamic range ,Engineering(all) ,photo realistic image synthesis ,ComputingMethodologies_COMPUTERGRAPHICS ,HDR-video ,Data processing ,Photo realistic rendering ,business.industry ,General Engineering ,High dynamic range video ,Computer Graphics and Computer-Aided Design ,Visualization ,Human-Computer Interaction ,Image-based lighting ,Signal Processing ,Artificial intelligence ,business ,Image based lighting - Abstract
Illumination is one of the key components in the creation of realistic renderings of scenes containing virtual objects. In this paper, we present a set of novel algorithms and data structures for visualization, processing and rendering with real world lighting conditions captured using High Dynamic Range (HDR) video. The presented algorithms enable rapid construction of general and editable representations of the lighting environment, as well as extraction and fitting of sampled reflectance to parametric BRDF models. For efficient representation and rendering of the sampled lighting environment function, we consider an adaptive (2D/4D) data structure for storage of light field data on proxy geometry describing the scene. To demonstrate the usefulness of the algorithms, they are presented in the context of a fully integrated framework for spatially varying image based lighting. We show reconstructions of example scenes and resulting production quality renderings of virtual furniture with spatially varying real world illumination including occlusions.
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