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2011-11-01 11:12:59 -0500 | asked a question | Working rosjava service server/client example? Hi, Is there any working service server/client example code like the AddTwoInts tutorial for rospy and roscpp? I am able to run publisher/subscriber in rosjava, but struggling making a rosjava service server node works. What I am trying is a simple service server which takes empty request and print something on the screen. When I call the service: These error shows up: Could someone point what's the problem? Thanks. |
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2011-06-28 07:42:25 -0500 | commented answer | detect/extract a "small" sphere using PCL Thanks for the help. Do you mean searching for 2D features in the RGB image instead of using pcl? Another question is, should I call the normal estimation function before I call the SAC model segment function? I can detect a larger sphere without doing the normal estimation. |
2011-06-27 18:15:06 -0500 | marked best answer | detect/extract a "small" sphere using PCL If you are using a kinect you could first try to find the sphere or bound the search space using the rgb image. More generally, a feature set could be constructed and searched for. The features might include color, radius, and normal distribution. One issue will be getting proper normals for such a small sphere. I think using normals from the kinect won't work from far away. The farther it is from a 2cm sphere, the fewer points will give you the normal you want (and need) to ID a sphere. Try it from closer up, with fewer neighbors in your normal extraction step. |
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2011-06-24 12:59:44 -0500 | asked a question | detect/extract a "small" sphere using PCL The radius of the sphere I am detecting is about 2cm (very small). I tried to modify the PCL tutorial which does cylinder model segmentation (http://www.pointclouds.org/documentation/tutorials/cylinder_segmentation.php#cylinder-segmentation). I have tried different sets of parameters. After I increase the MaxIteration to a large number (100000), I am able to detect larger ball (r = 15cm), but not a small ball (r = 2cm). The pointclouds are from Kinect using openni_kinect driver. This is the code I use: Is Normal Estimation Required for doing sphere fitting? Or is there any parameter I didn't setup well? I am also wondering if there is a better method to detect a small ball in Pointclouds other than SAC_Segmentation since randomly picking up points in the clouds might not be ideal for finding such small objects, besides I have a specific ball to detect. Any help would be greatly appreciated! -LT |