SIFT feature extraction applied in SVM classification
Vojtěch Dorňák, Martin Čermák, Marek Pecha, Lukáš Pospíšil · AIP conference proceedings · 2022
In this paper, we explore the image feature extraction approach called Scale-Invariant Feature Transform. We use the extracted features for training and testing of a classification technique, the Support Vector Machines. For the benchmarks, we train and test the classifier using features extracted from real image data. This model, we compare with a classification model trained using pixel values.