Comparison of Object Detection Algorithms: SIFT, SURF, ORB

Abstract

Feature points of the images are used in high speed real time applications. This paper assess the performance of the present methodology. The type of the image assess the how efficient the method is. The efficiency of the algorithm measured in terms of number of good key points matches in the pair of image. These comparison asses the idea of performance of the method based on speed, sensitivity, occlusion, and others. These studies are important to understand the influence of the method for the particular image type. From this broad classification three widely used algorithms are assessed: SIFT, SURF, and FAST. Here presented the result of evaluated algorithm.