Image-based ghostings for single layer occlusions in augmented reality
Image-based ghostings for single layer occlusions in augmented reality
复制标题
增强现实中基于图像的单层遮挡重影
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Gerhard Reitmayr
中科院分区：
文献类型：
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作者：
S. Zollmann;Denis Kalkofen;Erick Méndez;Gerhard Reitmayr
在增强现实显示中，X射线可视化技术通过将物理视图与隐藏信息的人工渲染相结合，使隐藏的对象可见。X射线可视化中的一个重要步骤是确定物理场景的哪些部分应该保留，哪些应该用覆盖来替换。这一组合应该为用户提供必要的感知线索，以理解隐藏信息和物理场景之间的深度关系。在本文中，我们提出了一种在未知环境下通过分析物理场景的摄像机图像并使用提取的信息进行遮挡管理来解决这一决策的方法。像素被分组为感知上一致的图像区域，并且为每个区域确定一组参数。这些参数改变了用于保存现有结构或生成合成结构的X射线可视化。最后，用户可以定制前景区域的整体不透明度以适应可视化。
In augmented reality displays, X-Ray visualization techniques make hidden objects visible through combining the physical view with an artificial rendering of the hidden information. An important step in X-Ray visualization is to decide which parts of the physical scene should be kept and which should be replaced by overlays. The combination should provide users with essential perceptual cues to understand the relationship of depth between hidden information and the physical scene. In this paper we present an approach that addresses this decision in unknown environments by analyzing camera images of the physical scene and using the extracted information for occlusion management. Pixels are grouped into perceptually coherent image regions and a set of parameters is determined for each region. The parameters change the X-Ray visualization for either preserving existing structures or generating synthetic structures. Finally, users can customize the overall opacity of foreground regions to adapt the visualization.