FEATURE EXTRACTION WITH KEYPOINT RESAMPLING AND FUSION (KRF)

摘要

A method of feature extraction from an image can include receiving the image including pixels, generating confidence values corresponding to positions of the pixels in the image by an artificial intelligence (AI) based feature extractor, selecting a first position among the positions of the pixels in the image, a first confidence value among the generated confidence values at the first position being higher than a first threshold, and generating a final set of keypoint-descriptor pairs based on the confidence values corresponding to positions of the pixels in the image. The final set of keypoint-descriptor pairs includes at least two keypoint-descriptor pairs corresponding to the first position among the positions of the pixels in the image.