Timeline for Are there any computer vision algorithms specifically targeting depth images?
Current License: CC BY-SA 3.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 2, 2012 at 8:43 | vote | accept | Doug | ||
| Apr 25, 2012 at 11:10 | history | tweeted | twitter.com/#!/StackSignals/status/195107632766398464 | ||
| Apr 22, 2012 at 9:44 | vote | accept | Doug | ||
| May 2, 2012 at 8:43 | |||||
| Apr 20, 2012 at 15:41 | history | migrated | from stackoverflow.com (revisions) | ||
| Apr 20, 2012 at 15:25 | answer | added | timlukins | timeline score: 8 | |
| Apr 19, 2012 at 9:38 | comment | added | mankoff | RGBDemo implements those algorithms. Read the code or the references for the code. | |
| Apr 19, 2012 at 8:31 | answer | added | penelope | timeline score: 7 | |
| Apr 19, 2012 at 6:39 | comment | added | Doug | I'm not looking for an implementation of a demo that shows off the kinect, or some PC demos that show how to generate a 3d model from a kinect or an image processing toolkit (ie. opencv). I'm looking for algorithms for feature recognition based on depth images. | |
| Apr 18, 2012 at 14:41 | comment | added | mankoff | There are tons of papers and programs for this. Sorry can't answer in more detail, on low bandwidth. See RGBDemo app, it includes an object recognizer. Also, PointCloud Library (PCL), ROS, OpenCV, for software, and presumably Google Scholar for papers. You mention OpenCV isn't satisfactory to you, but PCL and RGBDemo might be. | |
| Apr 16, 2012 at 4:39 | history | asked | Doug | CC BY-SA 3.0 |