Name
Abstract | ||
|---|---|---|
We introduce a framework for outdoor photometric stereo utilizing natural environmental illumination. Our framework extends beyond existing photometric stereo methods intended for laboratory environments to encompass robust outdoor operation in the real world. In this paper, we motivate our framework, describe the components of its processing pipeline, and assess its performance in synthetic experiments as well as in natural experiments including objects in outdoor environments with complex real-world illuminations. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICCPhot.2013.6528306 | ICCP |
Keywords | Field | DocType |
laboratory environment,robust outdoor operation,lighting,processing pipeline,complex real world illumination,natural environmental illumination,outdoor photometric stereo,stereo image processing,sparse matrices,estimation,robustness | Computer vision,Computer graphics (images),Computer science,Optics,Artificial intelligence,Photometric stereo | Conference |
ISSN | ISBN | Citations |
2164-9774 | 978-1-4673-6463-8 | 7 |
PageRank | References | Authors |
0.50 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lap-Fai Yu | 1 | 316 | 24.87 |
| Sai Kit Yeung | 2 | 420 | 27.17 |
| Yu-Wing Tai | 3 | 2028 | 92.75 |
| Demetri Terzopoulos | 4 | 14080 | 4210.64 |
| Tony F. Chan | 5 | 8733 | 659.77 |