Pokemon Color Adjustments for Augmented Reality Contents

Abstract

The methods for rendering content realistic in Augmented Reality (AR) have already been advanced, but the consideration from the context of actual users on image coloring adjustment remains to be investigated. Recent illuminant-aware content tuning algorithms focused on anticipate a more natural-looking AR contents, this paper accounts the contribution for effect of memorial color in anime character. In this circumstance, this study aims to investigate the image color adjustment on AR anime contents in living environment. In the experiment, seven designers: three were highly interested in Pokemon and the others were not were recruited to adjust the hue, saturation, and lightness of three pokemon characters in 40 different environments using Adobe Photoshop. As a result, saturation and lightness adjustments were found to be the most dominant. Also, designers with more interest in pokemon tended to make pokemon more saturated. Thus, this study demonstrated that illuminant-aware color tuning is anticipated to render AR anime contents.