Gorokhovatskyi, V.Tvoroshenko, I.2024-12-202024-12-202024Gorokhovatskyi V. An effective method for transforming an image description into a compact vector for classification / V. Gorokhovatskyi, I. Tvoroshenko // Information Technology and Implementation (Satellite) : Conference Proceedings, November 21, 2024. – Kyiv : Publishing House «Caravela», 2024. - pp. 25-28.978-960-801-870-9https://openarchive.nure.ua/handle/document/29476The work develops method to solve a fundamental problem in computer vision: image recognition of visual objects. Based on the implementation of the distance matrix model, it was possible to form effective integrated features in the form of one-dimensional data distributions and vectors for the sum of the matrix columns, which reduced computational costs without losing the effectiveness of classification on the training data sample. The efficiency of image classification was experimentally evaluated using software modeling.en-UScomputer visiondescriptordistance matrixkeypointorthogonal decompositionprocessing speedrelevance of descriptionsConference proceedings