Tricodes: A Barcode-Like Fiducial Design for Augmented Reality Media

Visual markers, or fiducials, have become one of the most common methods of camera pose estimation in augmented reality (AR) media. Many present day fiducial-based AR systems use arbitrary patterns, such as simple line drawings or alpha-numeric characters, and require that an application be "trained" to recognize its pattern set. These techniques work well on a small scale, but as the number of fiducials grows, accuracy and performance degrade. We describe a new fiducial design called TriCodes that, like a barcode, provides a systematic way of printing and identifying a vast library of patterns. We compare TriCodes to the popular ARToolkit package, demonstrating its advantages in the presence of large numbers of fiducials