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Systems and methods for selecting interest point descriptors for object recognition

机译:选择兴趣点描述符以用于对象识别的系统和方法

摘要

Systems and methods for selecting interest point descriptors for object recognition. In an embodiment, the present invention estimates performance of local descriptors by (1) receiving a local descriptor relating to an object in a first image; (2) identifying one or more nearest neighbor descriptors relating to one or more images different from the first image, the nearest neighbor descriptors comprising nearest neighbors of the local descriptor; (3) calculating a quality score for the local descriptor based on the number of nearest neighbor descriptors that relate to images showing the object; and (4) determining, on the basis of the quality score, if the local descriptor is effective in identifying the object.
机译:选择兴趣点描述符以用于对象识别的系统和方法。在一个实施例中,本发明通过(1)在第一图像中接收与对象有关的局部描述符来估计局部描述符的性能; (2)识别与与第一图像不同的一个或多个图像有关的一个或多个最近邻居描述符,该最近邻居描述符包括本地描述符的最近邻居; (3)根据与表示所述物体的图像有关的最近邻居描述符的数量,计算所述局部描述符的质量得分; (4)根据质量得分确定局部描述符在识别物体方面是否有效。

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