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2016-04-05 15:00:17 -0500 | asked a question | Unable to read a .pcd file Hello I am using pcl to read a .pcd file in ros. I can read less dense files, however when it comes to more dense files, with more fields, that is x,y,z, normal x, normal y, normal z it doesnot view the point cloud anymore. My code is as follows which is a very simple snippet. I am facing the problem when I am trying to see around a million point dense cloud. |
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2016-02-10 15:05:13 -0500 | commented answer | Unable to compile PCL 3D Object Recognition tutorial in ROS Follow the pcl tutorials here http://wiki.ros.org/pcl/Tutorials . Its very descriptive and well documented. |
2016-02-10 13:46:38 -0500 | asked a question | Compare point cloud with CAD model, for object recognition? I am trying to do industrial part recognition using my robot. I am using a Kinect for as my vision component for the robot. The kinect fetches me real clustered segmented data ( i wrote a code for that). Now i need to perform recognition using a given CAD model. I thought converting it into .pcd file would be one option however, I dont know how feasible and accurate final output I will have after converting a .assembly --> .STL/Mesh--> .PCD. Can some one tell me how can the comparison done to perform the recognition. I am using ROS indigo, PCL (latest), and Kinect Xbox 360. Also all this needs to be done in real time and not offline. As detection and segmentation has been achieved already in real time. |
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2016-01-27 17:57:32 -0500 | answered a question | Unable to view to the clustering results in rviz.
This will solve the problem. |
2016-01-27 17:55:56 -0500 | commented question | Unable to view to the clustering results in rviz. Thanks jarvis, I have done so. Its solved. |
2016-01-27 17:02:32 -0500 | commented answer | Euclidean Cluster Extraction How to edit the point cloud headers |
2016-01-27 14:42:05 -0500 | asked a question | Unable to view to the clustering results in rviz. Hello, I am trying to perform euclidean clustering in ROS. I can generate data and also store them .pcd files. But i wish to see the output of the file in rviz which I am unable to. It throws the following warning: My code looks like this: (more) |
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2016-01-26 17:06:24 -0500 | commented question | Euclidean Cluster Extraction Could you get your code running? |
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2016-01-26 12:27:40 -0500 | commented answer | table top segmentation from kinect Thanks Ugo the wiki link works for me. I thought you implemented it, so wanted to see the code, however, l have been going through the wiki and has been very comprehensive. Thanks again |
2016-01-26 12:25:54 -0500 | commented answer | How to implement conditional euclidean clustering in ROS? Thanks a lot, I implemented the SAC segmentation with some changes, and it works, I will give it a try. Thanks for your response Javier |
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2016-01-25 13:14:32 -0500 | asked a question | How to implement conditional euclidean clustering in ROS? I am aware of the the conditional euclidean clustering is available on PCL website. But can someone please tell me how to implement this in ROS? |
2016-01-25 12:28:56 -0500 | commented answer | table top segmentation from kinect thanks Ugo, is your code open source. Could I have a look at it. This link which you have given above does not work for me. Thanks again for your time |
2015-12-13 11:08:46 -0500 | commented answer | table top segmentation from kinect I went through tutorial link. I wish to implement this. Will it work in ROS Indigo (ubuntu 14.04)? Also I am unable to access the code. |
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2015-11-14 10:01:04 -0500 | commented answer | How can I part identification in real time using kinect? Did. Thanks again. |
2015-11-14 10:00:24 -0500 | edited question | How can I part identification in real time using kinect? I am fairly new to Kinect. I am using it for my research. I want to use kinect for segment my input part and identify the part in real time? Here I refer part as the industry part, where I am employing a bot at the conveyor and using kinect to perform hand off of the industrial parts. The robot should be able to read the part and perform identification and also segment the region of interest. |
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