Quantized low-precision neural networks are very popular because they require less
computational resources for inference and can provide high performance, which is vital for …

Existing approaches to barcode detection have a number of disadvantages, including being
tied to specific types of barcodes, computational complexity or low detection accuracy. In this …

In this paper, we consider object classification and detection problems. We propose an
algorithm that is effective from the point of view of computational complexity and memory …

QR code is a commonly used two-dimensional barcode employed in a variety of
applications. To simplify the detection and segmentation of QR code, its structure …

The work briefly describes the activities of the Moscow Scientific School of Digital Image
Processing, formed on the basis of a team led by Professor VL Arlazarov. This school is …

This paper is devoted to a review of the achievements of the Moscow scientific school of
image recognition, formed under the leadership of Professor Vladimir L'vovich Arlazarov, in …

Facial Recognition in this day becomes more necessary than ever, owing to the boom of
digital media and automation, and the need for online security. This paper aims to analyse a …

In this paper, we consider object classification and detection problems for autonomous
UAVs. We propose an algorithm that is effective from the point of view of computational …

Two-dimensional barcode reading is still a challenging problem in the computer vision
domain. To simplify this reading process specially designed synchronization patterns are …

A new algorithm for localizing engineering objects on multispectral images based on the
Viola and Jones method has been developed. The proposed algorithm uses multichannel …