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MCMC framework-based sub-hypergraph matching method and device

机译：基于MCMC框架的子超图匹配方法及装置

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摘要

A method and a device for MCMC framework-based sub-hypergraph matching are provided. Matching of object features is performed by constructing sub-hypergraphs. In a large number of actual images and videos, objects vary constantly, and contain various noise points as well as other interference factors, which makes image object matching and searching very difficult. Perform object feature matching by representing the appearance and positions of objects by sub-hypergraphs allows for faster and more accurate image matching. Furthermore, a sub-hypergraph has several advantages over a graph or a hypergraph: on one hand, a sub-hypergraph has more geometric information (e.g. angle transformation, rotation, scale, etc.) than a graph, and has a lower degree of difficulty and better extensibility than a hypergraph. On the other hand, the disclosed method and device have stronger capabilities to resist interference and good robustness, and are adaptable to more complex settings, especially with outliers.
机译：提供了一种用于基于MCMC框架的子超图匹配的方法和装置。通过构造子超图来执行对象特征的匹配。在大量的实际图像和视频中，对象不断变化，并且包含各种噪声点以及其他干扰因素，这使得图像对象的匹配和搜索非常困难。通过用子超图表示对象的外观和位置来执行对象特征匹配，可以更快，更准确地进行图像匹配。此外，子超图相对于图或超图具有多个优点：一方面，子超图比图具有更多的几何信息（例如角度变换，旋转，比例等），并且具有较低的难度和可扩展性都比超图好。另一方面，所公开的方法和设备具有更强的抗干扰能力和良好的鲁棒性，并且适用于更复杂的设置，尤其是离群值。

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