A Survey on Real Time 3-D Object Detection and Tracking Techniques for Marker-Less Augmented Reality

Augmented Reality is a super imposed computer generated image on a punter vision of the real world thus providing a composite view. It is a process to pick and choose a factual world view and add your virtual objects in it. Augmented Reality technologies are very attractive to learners since they present new experiences when learning about the real world. The Main goal is to present a practical approach for the development of Augmented Reality in Education that was aimed at the secondary or primary level students. Computer vision based target detection techniques had been successfully applied to marker less augmented reality applications. In this paper, it presents a survey of various methods of real-time object detection that can recognize three-dimensional (3D) target objects, regardless of their complex shapes and lighting condition changes, texture, occlusion and overlapping of multiple objects in the same plane. Information from both RGB and Depth Images are fused for Real time 3D object detection.