Efficient annotation visualization using distinctive features

Abstract

Annotation is often used for supplement real objects in Augmented Reality. Previous researches on the annotation have been focused on optimal label placement, where annotations are placed close to the objects while avoiding overlapping. However, optimally placed annotations are still hard to recognize when the number of annotations is large. Human eyes may easily perceive an object by seeing its distinctive features. In this paper, we proposed visualization methods for easily perceivable annotations using distinctive features. The proposed methods are based on studies of effects of colors, depth, style, and transparency of the annotations. © 2009 Springer Berlin Heidelberg.