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FAST MRF ENERGY OPTIMIZATION FOR SOLVING SCENE LABELING PROBLEMS

机译:解决场景标签问题的快速MRF能源优化

摘要

Image scene labeling with 3D image data. A plurality of pixels of an image frame may be label based at least on a function of pixel color and a pixel depth over the spatial positions within the image frame. A graph-cut technique may be utilized to optimize a data cost and neighborhood cost in which at least the data cost function includes a component that is a dependent on a depth associated with a given pixel in the frame. In some embodiments, in the MRF formulation pixels are adaptively merged into pixel groups based on the constructed data cost(s) and neighborhood cost(s). These pixel groups are then made nodes in the directed graphs. In some embodiments, a hierarchical expansion is performed, with the hierarchy set up within the label space.
机译:带有3D图像数据的图像场景标签。可以至少基于像素颜色和图像帧内空间位置上的像素深度的函数来标记图像帧的多个像素。可以利用切图技术来优化数据成本和邻域成本,其中至少数据成本函数包括依赖于与帧中给定像素相关联的深度的分量。在一些实施例中,在MRF配方中,基于构造的数据成本和邻域成本将像素自适应地合并成像素组。这些像素组然后成为有向图中的节点。在一些实施例中,执行层次扩展,其中层次在标签空间内建立。

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