Difference between revisions of "Objects recognition and position calculation (webcam)"

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(Installation of OpenCV)
(Utilization of a new OpenCV library in ROS Electric)
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* Position of the corners of the object image in the scene.  
 
* Position of the corners of the object image in the scene.  
  
===Utilization of a new OpenCV library in ROS Electric===
+
===Utilization of a new OpenCV version in ROS Electric===
  
 
The previous ''package'' needs in order to compile the [http://opencv.org/ OpenCV] version 2.4.3 or higher, but [http://wiki.ros.org/ ROS] Electric has the [http://opencv.org/ OpenCV] version 2.3.1. We will install the [http://opencv.org/ OpenCV] version 2.4.3, configure the ''package'' [http://wiki.ros.org/cv_bridge?distro=electric cv_bridge] and modify the ''package'' [http://code.google.com/p/find-object/ find_object_2d].
 
The previous ''package'' needs in order to compile the [http://opencv.org/ OpenCV] version 2.4.3 or higher, but [http://wiki.ros.org/ ROS] Electric has the [http://opencv.org/ OpenCV] version 2.3.1. We will install the [http://opencv.org/ OpenCV] version 2.4.3, configure the ''package'' [http://wiki.ros.org/cv_bridge?distro=electric cv_bridge] and modify the ''package'' [http://code.google.com/p/find-object/ find_object_2d].

Revision as of 16:46, 30 December 2013

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Objects recognition

We have used the package find_object_2d which has been develop by Mathieu Labbé (Université de Sherbrooke). The program can recognizes objects in the scene using an image of the object. The program has a graphical user interface which allow to capture an image of the scene and save it.

Screenshot find_object_2d

In the screenshot that is shown above, we can see how the recognized object is within a boundary box which coincide with the corners of the object image.

The program provides several data of each found object in the scene. We will use the next data:

  • Width of the object image (number of pixels).
  • Height of the object image (number of pixels).
  • Position of the corners of the object image in the scene.

Utilization of a new OpenCV version in ROS Electric

The previous package needs in order to compile the OpenCV version 2.4.3 or higher, but ROS Electric has the OpenCV version 2.3.1. We will install the OpenCV version 2.4.3, configure the package cv_bridge and modify the package find_object_2d.

Installation of OpenCV

First we will download the OpenCV version 2.4.3 by the official web.


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