Analysis and Evaluation of Feature Detection and Tracking Techniques Using OpenCV with Focus on Markerless Augmented Reality Applications

Augmented Reality (AR) is a technology able to extend human interactions with the real world. One field of study in AR is the use of real objects as markers. To perform this task, feature recognition of the real world by computer systems must be performed. This work consists in the analysis and evaluation of several algorithms available in OpenCV library that allow the detection of pre-established patterns in images and videos. The main contribution of this work is to present the most appropriate combination of algorithms to help the development of markerless AR applications.