Gang Li
ABSTRACT
View management techniques are commonly used for the optimization of labelling layout of objects in augmented reality systems, in which penalty function is an effective method to get the optimal positions of labels. In this paper, an image-driven view management method to superimpose 2D labels to the objects under indoor environments such as sculpture and toy by minimizing penalty function is studied. A new penalty function is proposed to change the orientation of each leader line in the penalty elements and a modified search space method is integrated to improve the quality of labelling layout. Experiments are conducted to evaluate the labelling layout optimized by different penalty functions under different experiment conditions and the comparison of experimental results between different penalty functions shows that the proposed method represents the best results in terms of avoiding occlusion and efficiency to get the optimal layout.
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Index Terms
- Evaluation of labelling layout method for image-driven view management in augmented reality
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