Name
Abstract | ||
|---|---|---|
In this work we investigate an inverse geometry problem. Given a light source, a diffuse plane and a caustic image, how must a geometric object look like (transmissive or reflective) in oder to project the desired caustic onto the diffuse plane when lit by the light source? In order to construct the geometry we apply an analysis-by-synthesis approach, exploiting the GPU to accelerate caustic rendering based on the current geometry estimate. The optimization is driven by simultaneous perturbation stochastic approximation (SPSA). We confirm that this algorithm converges to the global minimum with high probability even in this ill-posed setting. We demonstrate results for precise geometry reconstruction given a caustic image and for reflector design producing an intended light distribution. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15555-0_34 | ECCV (5) |
Keywords | Field | DocType |
geometry construction,intended light distribution,inverse geometry problem,analysis-by-synthesis approach,light source,caustic rendering,algorithm converges,precise geometry reconstruction,diffuse plane,current geometry estimate,caustic image,analysis by synthesis | Inverse,Computer vision,Simultaneous perturbation stochastic approximation,CUDA,Computer science,Caustic (optics),Mean squared error,Artificial intelligence,Geometry,Rendering (computer graphics),Light source,Stochastic approximation | Conference |
Volume | ISSN | ISBN |
6315 | 0302-9743 | 3-642-15554-5 |
Citations | PageRank | References |
21 | 1.13 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manuel Finckh | 1 | 47 | 2.34 |
| Holger Dammertz | 2 | 154 | 8.99 |
| Hendrik P. A. Lensch | 3 | 1471 | 96.59 |