Name
Abstract | ||
|---|---|---|
One meaning of ''smart camera'' is that it images objects in the class(es) of interest while not imaging objects in other class(es). Such a camera would be most useful if it were software controlled and operated at TV frame rates. In this paper, Artificial Color is applied in the design of such a camera. We show here how to segregate objects by color even when there are nearly identical neighboring colors. The process uses a multiple stage (''divide and conquer'') approach. The method used employs only linear discriminants, so it is simple to implement in software, firmware, or hardware. An example of undoing one of nature's best camouflage efforts is shown. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.imavis.2007.06.004 | Image Vision Comput. |
Keywords | Field | DocType |
linear discriminants,imaging object,color camera,images object,best camouflage effort,smart camera,identical neighboring color,artificial color,divide and conquer,multiple stage,hyperspectral imaging,tv frame rate | Computer vision,Computer graphics (images),Computer science,Camera auto-calibration,Smart camera,Hyperspectral imaging,Camouflage,Software,Artificial intelligence,Frame rate,Divide and conquer algorithms,Firmware | Journal |
Volume | Issue | ISSN |
26 | 2 | Image and Vision Computing |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian Fu | 1 | 54 | 5.62 |
| H. John Caulfield | 2 | 443 | 164.79 |