Pokemon color adjustments for augmented reality contents (EI2022 Oral Presentation)

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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. This study aims to investigate the image color adjustment on augmented reality (AR) contents in wild situations. In the experiment, seven designers were recruited to adjust the hue, saturation, and lightness of three Pokemon characters in 40 different environments using 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 natural-looking AR contents.

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