Cross-ratio Based Natural View Object Recognition for Mobile AR

upcoming ubiquitous computing environment, the number of smart objects will increase and various services will be hosted by these smart objects. Therefore, it is necessary to show the information and services of smart objects in order to aid users for an easy access. As a part of this purpose, the vision-based AR (Augmented Reality) has played an important role in the visual communication between smart environment and users. In this paper, we propose a method to recognize smart objects based on invariant cross-ratios for indoor mobile AR. This method supports natural view recognition, longer distance (2m~3m) recognition and improving running speed without marker compared with fiducial marker based or local feature based method.