Object Detection using Point Feature Matching Algorithm

Abstract

Object Detection plays a significant role in areas of computer vision and image processing in order to analyze images and extract meaningful data from them. Object detection basically involves the process of identifying specific object in an image or video. It is the field that has been widely used and researched because of its various application and widespread usage. In this paper, an algorithm is presented for object detection based on point feature matching. Point Feature Matching works as an effective method to help detect a specific object in a cluttered scene.  This method can be used to detect single objects in any given scene. This object detection method is most effective for objects showing non-repeating texture patterns, which gives rise to exclusive feature matches.