Object Detection in a Cluttered Scene
Detection of objects in cluttered scenes is a fundamental 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 project 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 and occlusion. Object Detection in a Cluttered Scene