More like an edge detection technique, SIFT identifies the entire scanline of an image and graphically plots specific vital points using a logarithmic function. Once features are localized, it passes on this quantitative information or descriptors to a classifier to categorize the objects and find ...
This is done using IVPY's high-dimensional neural net vector, which is the output of the penultimate layer of ResNet50 (He et al., Citation2015). We then apply a k-means clustering algorithm to the image-vectors which we test with multiple numbers of clusters. Eventually, we find that...