slide1 l.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Clustered Principal Components for Precomputed Radiance Transfer real-time rendering with shadows and inter-reflections PowerPoint Presentation
Download Presentation
Clustered Principal Components for Precomputed Radiance Transfer real-time rendering with shadows and inter-reflections

Loading in 2 Seconds...

play fullscreen
1 / 1

Clustered Principal Components for Precomputed Radiance Transfer real-time rendering with shadows and inter-reflections - PowerPoint PPT Presentation


  • 200 Views
  • Uploaded on

Clustered Principal Components for Precomputed Radiance Transfer real-time rendering with shadows and inter-reflections for objects with complex reflectance.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Clustered Principal Components for Precomputed Radiance Transfer real-time rendering with shadows and inter-reflections' - lotus


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide1

Clustered Principal Components for Precomputed Radiance Transfer

real-time rendering with shadows and inter-reflections for objects with complex reflectance

Radiance transfer at p from source to transferred incident to exitant. We use a transfer matrix at each p to represent the linear transformation of source radiance into exitant radiance. We use the spherical harmonic basis for these radiance functions.

We compress transfer matrices over many points over the surface using CPCA (clustered principal component analysis). It approximates the transfer matrices using an affine subspace over a small number (256) of clusters of points. Using a few PCA vectors per cluster (n'), a good approximation is obtained.

Equivalent Rendering Cost Comparison: The three left columns show various approximations that take the same time to render (~45Hz). CPCA provides a much better approximation than a global linear subspace over the whole object (PCA), or a piecewise constant approximation (VQ).

59Hz

27Hz

Real-time rendering sample images, using CPCA-encoded transfer matrices

43Hz

27Hz