Timeline for Network generation algorithm
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 12, 2015 at 17:08 | comment | added | Kirk Kuykendall | Could this be classified as a computer vision/ pattern recognition problem? A camera captures an image, then generates points. A database of geometric objects is searched to find the the object whose nodes best match the points. | |
| Nov 12, 2015 at 13:09 | comment | added | Bob3k | @Kirk: The distances are only approximately right. Judging from Felix' comment below, I would need 6 instead for 3 points for triangulation, right? | |
| Nov 12, 2015 at 13:06 | comment | added | Bob3k | Thanks for commenting, guys. @Matej: Unfortunately, I do not have the lines in a shapefile or the like. I only have a csv-file which basically reads as A,B,4500 B,C,3000 C,A,2000 | |
| Nov 11, 2015 at 23:07 | answer | added | FelixIP | timeline score: 1 | |
| Nov 11, 2015 at 21:59 | history | edited | Vince | CC BY-SA 3.0 |
removed thanks and redundant signature
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| Nov 11, 2015 at 21:38 | comment | added | Kirk Kuykendall | When you say you know the positions of a few nodes, are you certain that the distance between two known nodes would exactly match a distance in your list, or only approximate it? | |
| Nov 11, 2015 at 19:32 | comment | added | Matej | Network connections consist of line segments (lines, polylines). You should be able to extract coordinates from the line segment nodes. | |
| Nov 11, 2015 at 18:49 | history | asked | Bob3k | CC BY-SA 3.0 |