Implementation of object recognition based on image projection signatures using Matlab

Several methods are available in computer vision to recognize objects. Mostly, these methods consist of two well-separated parts: first the region of interest has to be recognized on the input image. After this, the visual representation of the object has to be compared with already-known samples: there are several ways, mostly based on the shape, color and pattern, or corner- or keypoints of the display of the object. An interesting method is to use image projections for object matching, which method can be separated into multiple subtasks. For research purposes, the most-widely used prototyping environment Matlab is used to understand the behaviour of image signatures based on projections.