OBJECT RECOGNITION USING INCREMENTAL FEATURE EXTRACTION

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.