Key Point Subspace Acceleration (KPSA) is a statistical acceleration
scheme that uses examples to compute a statistical subspace and a set
of characteristic key points. The full calculation is then computed
only at these key points and these points are used to provide a
subspace based estimate of the entire calculation. The soft caching
process is an extension to the KPSA technique where the key points are
also used to provide a confidence estimate for the KPSA result. In
cases with high anticipated error the calculation will then ``fail
through'' to a full evaluation of all points (a cache miss), while
frames with low error can use the accelerated statistical evaluation
(a cache hit).
Paper (PDF)
Additional materials: [SiggraphSlides.pdf], [softCaching.mov]
Available in the proceedings of Siggraph 2007
Available as Pixar Technical Memo #06-04b
Other versions: