Visibility-based blending for real-time applications
Visibility-based blending for real-time applications
复制标题
适用于实时应用程序的基于可见性的混合
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
K. Ikeuchi
中科院分区：
文献类型：
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作者：
Taiki Fukiage;Takeshi Oishi;K. Ikeuchi
在真实的应用中，存在虚拟对象在背景上半透明地呈现的许多情况。在这种情况下，我们通常希望以恒定的可见性显示对象。然而，使用传统的阿尔法混合，混合对象的可见性根据背景场景的颜色、纹理和结构而显著变化。为了克服这个问题，我们提出了一个框架，融合图像的基础上的主观度量的可见性。在我们的方法中，混合参数是局部和自适应优化，使每个位置的可见性达到目标水平。为了预测由任意参数混合的对象的可见性，我们利用已经开发的用于图像质量评估的误差可见性度量之一。在这项研究中，我们证明了我们使用的度量可以线性预测各种纹理图像上混合图案的可见性，并表明所提出的混合方法可以在增强现实的实际情况下工作。
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 visibility of each location achieves the targeted level. To predict 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 visibility of a blended pattern on various texture images, and showed that the proposed blending methods can work in practical situations assuming augmented reality.
影响因子：
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作者：
LEGGE, GE;FOLEY, JM
通讯作者：
FOLEY, JM