Summary
In this chapter, we dealt with object detection and recognition. Both these things are extensively used in robotic applications. The chapter started with a popular ROS package for 2D object detection. The package is called find_2d_object, and we covered object detection using a webcam and Kinect. After going through a demo using this package, we discussed 3D object recognition using a ROS package called object_recognition, which is mainly for 3D object recognition. We saw methods to build and capture the object model and its training procedure. After training, we discussed the steps to start detecting the object using a depth camera. Finally, we visualized the object recognition in Rviz.
In the next chapter, we will deal with interfacing ROS and Google TensorFlow.
