Voxelisation Algorithms and Data Structures: A Review.

Voxel-based data structures, algorithms, frameworks, and interfaces have been used in computer graphics and many other applications for decades. There is a general necessity to seek adequate digital representations, such as voxels, that would secure unified data structures, multi-resolution options, robust validation procedures and flexible algorithms for different 3D tasks. In this review, we evaluate the most common properties and algorithms for voxelisation of 2D and 3D objects.

Accurate calibration of standard plenoptic cameras using corner features from raw images.

Light field cameras capture spatial and angular information simultaneously. A scene point in the 3D space appears many times on the raw image, bringing challenges to light field camera calibration. This paper proposes a novel calibration method for standard plenoptic cameras by using corner features from raw images.

[Integrated assessment of hygienic condition of the oral cavity].

The Aim: To identify the problematic issues of assessing the hygienic state of the oral cavity and the clinical development of possible algorithms for their solution using our modified, highly sensitive (up to 150 CFU/ml versus 5·10-5·10 CFU/ml), objective (2-3% error) method fluorescence spectroscopy.

Material And Methods: In a clinical study on 20 patients of working age, it was shown that the authors modified fluorescence spectroscopy method allows each patient to individually perform a comprehensive digital express indication and objective analysis of the oral hygiene state based on express registration and analysis of the entire aggregate of aerobic-anaerobic microflora of various oral biotopes (biotope teeth, lips, gums, cheeks, palate, tongue and saliva) online.

Results: Integral indicators of the hygienic state of the oral cavity in individuals with satisfactory oral hygiene before and after brushing have been obtained, which describe the hygienic state of both the oral cavity as a whole and individual biotope in their relationship.

Classification of Power Facility Point Clouds from Unmanned Aerial Vehicles Based on Adaboost and Topological Constraints.

Machine learning algorithms can be well suited to LiDAR point cloud classification, but when they are applied to the point cloud classification of power facilities, many problems such as a large number of computational features and low computational efficiency can be encountered. To solve these problems, this paper proposes the use of the Adaboost algorithm and different topological constraints. For different objects, the top five features with the best discrimination are selected and combined into a strong classifier by the Adaboost algorithm, where coarse classification is performed.

[Clinical and experimental study of the peculiarities of cardiac activity disorders during poisoning by combustion products in persons of different age groups.].

The work is carried out to clarify the mechanisms of cardiac activity disorders and assess the severity of cardiotoxicity in acute poisoning by combustion products in the age aspect. 71 patients with severe carbon monoxide poisoning were examined. The comparison group consisted of 22 patients with acute severe opiate poisoning.