Name
Title | ||
|---|---|---|
Efficient and robust radiance transfer for probeless photorealistic augmented reality |
Abstract | ||
|---|---|---|
Photorealistic Augmented Reality (AR) requires knowledge of the scene geometry and environment lighting to compute photometric registration. Recent work has introduced probeless photometric registration, where environment lighting is estimated directly from observations of reflections in the scene rather than through an invasive probe such as a reflective ball. However, computing the dense radiance transfer of a dynamically changing scene is computationally challenging. In this work, we present an improved radiance transfer sampling approach, which combines adaptive sampling in image and visibility space with robust caching of radiance transfer to yield real time framerates for photorealistic AR scenes with dynamically changing scene geometry and environment lighting. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/VR.2014.6802044 | Virtual Reality |
Keywords | Field | DocType |
augmented reality,brightness,lighting,adaptive sampling,dense radiance transfer,dynamically changing scene geometry,environment lighting,invasive probe,photorealistic AR scenes,probeless photometric registration,probeless photorealistic augmented reality,radiance transfer sampling,reflective ball,robust caching,robust radiance transfer,visibility space,Augmented reality,photometric registration,radiance transfer | Computer vision,Visibility,Computer graphics (images),Computer science,Adaptive sampling,Augmented reality,Artificial intelligence,Sampling (statistics),Brightness,Radiance | Conference |
Citations | PageRank | References |
9 | 0.45 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lukas Gruber | 1 | 102 | 7.88 |
| Tobias Langlotz | 2 | 399 | 36.80 |
| Pradeep Sen | 3 | 882 | 53.01 |
| Hoherer, T. | 4 | 9 | 0.45 |