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Hello,

I had a few shots with VFH features recognitiom which work only on 3d information. Check these pcl tutorials: How 3D Features work in PCL Estimating VFH signatures for a set of points Cluster Recognition and 6DOF Pose Estimation using VFH descriptors

It kind of gives good results, provided that you took enough snapshots from enough viewpoints of your objects during the learning phase.

I noticed that someone pushed it a level farther, by learning objects directly from 3d models and clustering the observed point clouds.

This work is advertised in this video and hosted in the ROS packagevfh_recognition.

As other said, object recognition stays a hard problem.

I hope it helps

Raph

Hello,

I had a few shots with VFH features recognitiom which work only on 3d information. Check these pcl tutorials: tutorials:

How 3D Features work in PCL

Estimating VFH signatures for a set of points

Cluster Recognition and 6DOF Pose Estimation using VFH descriptors

It kind of gives good results, provided that you took enough snapshots from enough viewpoints of your objects during the learning phase.

I noticed that someone pushed it a level farther, by learning objects directly from 3d models and clustering the observed point clouds.

This work is advertised in this video and hosted in the ROS packagevfh_recognition.

As other said, object recognition stays a hard problem.

I hope it helps

Raph