The article proposes a new classification method based on implementing the high-speed
search tools for the indexed data structure created on the etalon set of features, which has …

The aim of the research is to improve the effectiveness of image recognition methods
according to the description in the form of a set of keypoint descriptors. The focus is on …

The processes of intelligent data processing in computer vision systems have been
researched. The problem of structural image recognition is relevant. This is a promising way …

Анотація Finding effective classification solutions based on the study of the processed data
nature is one of the important tasks in modern computer vision. Statistical distributions are a …

Collision avoidance is a critical task in many applications, such as ADAS (advanced driver-
assistance systems), industrial automation and robotics. In an industrial automation setting …

Object detection is one of the most important topics of computer vision since it has many
applications in several fields. Object detection models can be improved thanks to ensemble …

The computer vision systems driving autonomous vehicles are judged by their ability to
detect objects and obstacles in the vicinity of the vehicle in diverse environments. Enhancing …

The increasing of image classification efficiency is proposed through the introduction of
effective ways of bits description weights vector for etalon images, which is presented as a …

Purpose Convolutional neural networks (CNNs) have rapidly emerged as one of the most
promising artificial intelligence methods in the field of medical and dental research. CNNs …

Context. Modern computer vision systems require effective classification solutions based on
the research of the the processed data nature. Statistical distributions are currently the …