An Efficient and Effective Technique for Marker Detection and Pose Estimation Using a Monocular Calibrated Camera

Abstract

The basic idea of all image processing methods is to process images captures by the camera device. Using image processing techniques, it is possible to find and process markers, faces, natural objects, simple shapes and other objects. One of the techniques is based on the use of markers, both artificial and natural. Markers on image are used for determining objects around or about the current location of the user. This method is also known as marker-based tracking. Markers in this method can provide a reference coordinate system for producing graphical overlays over the real components on the images. Marker identification is an important part of marker-based tracking process. A good marker is considered to be a marker that can be easily and reliably detected under different circumstances. The process of marker detection consists of two stages: Image pre-processing and Identification of potential markers. Marker processing algorithm and steps related to image processing and detection of potential marker stages are: Acquisition of a source image, Image pre-processing and Detection of potential markers. This paper discusses a simple marker detection algorithm and its simulation in MATLAB for verification. A potential application of marker detection to estimate the pose of the marker in real time is also implemented and the results are discussed.