Visibility-Based Blending for Real-Time Applications

T. Fukiage, T. Oishi, K. Ikeuchi

Abstract: There are many situations in which virtual objects are presented half-transparently on a background in real-time applications. In such cases, we often want to show the object with constant visibility. However, using the conventional alpha blending, visibility of a blended object substantially varies depending on colors, textures, and structures of the background scene. To overcome this problem, we present a framework for blending images based on a subjective metric of visibility. In our method, a blending parameter is locally and adaptively optimized so that the visibility of each location achieves the targeted level. To predict the visibility of an object blended by an arbitrary parameter, we utilize one of the error visibility metrics that have been developed for image quality assessment. In this study, we demonstrated that the metric we used can linearly predict the visibility of a blended pattern on various texture images, and showed that the proposed blending methods could work in practical situations assuming augmented reality.