SYSTEMATIC STUDY ON OBJECT DETECTION IN CLUTTERED ENVIRONMENT USING SIFT ALGORITHM

Detection of objects in cluttered scenes is a basic challenge that has only recently been widely undertaken by computer vision systems. This paper proposes a novel method how to detect a particular object in cluttered scenes, given a reference image of the object. This paper presents an algorithm for detecting a specific object based on finding point correspondences between the reference and the target image. It can detect objects despite a scale change or in-plane rotation. It is also robust to small amount of out-of-plane rotation. The detailed procedures are implemented using MATLAB.