Григорьева Елена Геннадиевна, кандидат физико-математических наук, доцент кафедры компьютерных наук и экспериментальной математики, Волгоградский государственный университет, Россия, 400062, г. Волгоград, Университетский пр-т, д. 100,
One of the urgent problems in the construction of computer vision systems is the problem of determining the spatial orientation and spatial position of an object from a photograph. For example, this task is especially important for autonomous driving systems, where the positioning of nearby vehicles is a key issue for autonomous vehicles in an urban environment. In this regard, for example, in 2019, the Baidu Robotics and Autonomous Driving Laboratory together with Peking University, set an appropriate task for the Kaggle community (https://www.kaggle.com/c/pkuautonomousdriving) and provided more than 60,000 copies of threedimensional cars marked from 5,277 real images. In this article, we formulate some results that are the mathematical basis for substantiating methods for solving the abovementioned reconstruction problems in computer vision systems.
The article analyzes the lexico-semantic and lexico-stylistic features of the Ossetian literary text. The authors describe a number of individual authorial innovations, repetitions, comparisons, lexical and grammatical methods of expressiveness. Particular attention is given to the study of language expressive means in N.Dzhusoyty's poetry. The authors consider linguistic figurativeness as one of the essential features of the lyrical genre, creating an individual style and artistic information content.
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