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OBJECT RECOGNITION USING INCREMENTAL FEATURE EXTRACTION

机译:使用增量特征提取进行对象识别

摘要

In one example, an apparatus includes a processor configured to extract a first set of one or more keypoints from a first set of blurred images of a first octave of a received image, calculate a first set of one or more descriptors for the first set of keypoints, receive a confidence value for a result produced by querying a feature descriptor database with the first set of descriptors, wherein the result comprises information describing an identity of an object in the received image, and extract a second set of one or more keypoints from a second set of blurred images of a second octave of the received image when the confidence value does not exceed a confidence threshold. In this manner, the processor may perform incremental feature descriptor extraction, which may improve computational efficiency of object recognition in digital images.
机译:在一个示例中,一种装置包括处理器,该处理器被配置为从接收到的图像的第一八度音阶的第一模糊图像集合中提取一个或多个关键点的第一集合,为该第一集合的一个或多个描述符计算第一集合。关键点,接收针对通过使用第一组描述符查询特征描述符数据库而产生的结果的置信度,其中结果包括描述接收图像中对象身份的信息,并从中提取一个或多个关键点的第二组当置信度值不超过置信度阈值时,接收图像的第二个八度音阶的第二组模糊图像。以这种方式,处理器可以执行增量特征描述符提取,这可以提高数字图像中的对象识别的计算效率。

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