Tag detection algorithm for improving the instability problem of an augmented reality

Detection technology is a requirement for an Augmented Reality system. One of the problems with detection technology is the instability problem, which occurs when an obstacle occludes a tag while detecting the tag, and the augmented object suddenly disappears. We have proposed a corner detection algorithm to solve this instability problem. The key feature is that if the tag can recognize its position using its four corner cells despite the obstacle being present, then it can maintain its augmented object. We defined the corner case for all types of cases where the instability problem occurs in ARToolkit or ARTag. We have adapted our proposed algorithm to the corner case in ARToolkit, ARTag and ColorCode vision systems and have compared their false detection rates.