This section presents different computational techniques used in implementing the automated recognition of objects in digital images. Let's start by giving a definition of object recognition. In a nutshell, it is the task of finding and labeling parts of a 2D image of a scene that correspond to objects inside that scene. The following screenshot shows an example of object recognition performed manually by a human using a pencil:
The image has been marked and labeled to show fruits recognizable as a banana and a pumpkin. This is exactly the same as what happens for calculated object recognition; it can be simply thought of as the process of drawing lines and outlining areas of an image, and finally attaching to each structure a label corresponding to the model that best represents it.
A combination...
