Category level 3D object recognition using depth images

In this study the focus was on the one of the latest trending topics, 3D object recognition, which became trending by the developments in the 3d imaging technologies. One of the methods that is used was developed directly for 3D object recognition and the other one was developed for 2D leaf recognition. The second one was adapted for 3D object recognition. Both methods are global methods. Their separate and fused performances were examined. On full object models both methods performs well, and due to their structure they are promising methods for partial object models.