Real-time adjustment of contrast saliency for improved information visibility in mobile augmented reality
PubDate: November 2015
Teams: Korea University
Writers: Euijai Ahn；Sungkil Lee；Gerard J. Kim
Abstract
In this work, we present a technique based on image saliency analysis to improve the conspicuity of the foreground augmentation to the background real world medium by adjusting the local brightness contrast. The proposed technique is implemented on a mobile platform considering the usage nature of AR. The saliency computation is carried out for the augmented object’s representative color rather than all the pixels, and searching and adjusting over only a discrete number of brightness levels to produce the highest contrast saliency, thereby making near-real time computation possible. Thus, while the resulting imagery may not be optimal due to such a simplification, our tests showed that the visibility was still significantly improved without much difference to the “optimal” ground truth in terms of correctly perceiving and recognizing the augmented information
