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Yes, I spent some days making it work. The current state of that code is not perfect :) The templates are available, you only have to insert some code to publish them.

If you only need detection and you have a fast CPU then this package might fit your needs after a bit of coding.

What this package can give you:

  • fast SIFT-based feature matching for templates (fast: compared to other implementation)
  • single detection results ("publishes" matched template)
  • detection result names (now it's only printed I think but could get the file name of the template as a result)
  • high false detection rate (based on my experiences)
  • no pose estimation (important if you are considering grasping)

If you are further interested in this topic we can share experiences in private and create a summary for example on the ros wiki.