Image-Based Label Placement for Augmented Reality Browsers

In this paper, we introduce a label placement technique for placing labels in Augmented Reality systems. One of the common challenges in Augmented Reality applications is lacking in knowledge of the real environment, limiting efficient representation and optimal layout of the digital information augment onto user's view. In order to overcome this problem, we propose an image-based label placement method, which combines identifying potentially important image regions and determining manual placement tendencies while labeling. Then we add geometric constraints for placing labels in the optimization problem to obtain the final label layout. Our method will provide special benefits to Augmented Reality browsers which is usually in the absence of scene knowledge. Also it can be used to many similar applications in the domain of Augmented Reality.