Name
Abstract | ||
|---|---|---|
Using multiple wave-bands is common in multispectral imaging and remote sensing, e.g., to enable improved reproduction of colours or to detect the crop status in a field, respectively. Computer vision methods, however, mainly rely on monochrome or RGB wave-bands, although segmentation tasks might be improved considerably using more or other wave-bands than the standard RGB.This paper presents and investigates a new approach for detecting human skin using a combination of standard RGB bands and three near infrared bands. Simulations under changing illumination conditions and a preliminary experiment show an improved robustness over pure RGB based approaches. |
Year | Venue | Field |
|---|---|---|
2004 | CGIV 2004: SECOND EUROPEAN CONFERENCE ON COLOR IN GRAPHICS, IMAGING, AND VISION - CONFERENCE PROCEEDINGS | Computer vision,Computer science,Multispectral image,Human skin,Artificial intelligence |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Moritz Störring | 1 | 195 | 14.36 |
| Hans Jørgen Andersen | 2 | 167 | 19.41 |
| Erik Granum | 3 | 1054 | 100.25 |