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Gesture Recognition is a technology that makes devices such as a computer capable of recognizing and responding to different gestures produced by the human body. With the recent growth of 3D virtual world applications, the demand to improve the gesture recognition method, especially hand gesture recognition, has increased. In this paper, we propose a novel vision-based gesture recognition system for controlling the 3D virtual world based on depth images obtained from the 3D camera device. For the proposed system, we used mix spatial space features consisting of 3D and 2D space features. The finger position in the point cloud represents the 3D space feature and the contour of hand from the images as 2D space feature. To investigate the robustness of our system, we designed 9 gestures including 6 static and 3 dynamic varieties. During experiments, we instruct people to display those gestures and calculate the recognition rate. Our results demonstrate that the proposed system was able to recognize the 9 gestures very well with the average accuracy of 95% for static gestures and 81.34% for dynamic ones.

Individual handwriting is an important feature of a person, reflecting his personality, cultural and intellectual level. The possibility of using in the cyberspace a unique manner of writing the text, which is inherent in every person, promotes the strengthening of the personal principle, emphasizes the uniqueness of the individual. The article deals with the problem of constructing individual digital fonts based on handwriting samples. To describe the font, a "trajectory format" is used, in which characters of the font are represented by fat curves. A fat curve is a family of circles centered on a smooth curve. To build a font for a given pattern, we solve the problem of fitting the fat curves to the bitmap image of handwritten text. The article proposes the solution of this problem, based on the continuous medial representation of the object shape in binary images.

Recently, cancelable biometrics emerged as one of the highly effective methods of template protection. The concept behind the cancelable biometrics or cancelability is a transformation of a biometric data or extracted feature into an alternative form, which cannot be used by the imposter or intruder easily, and can be revoked if compromised. In this paper, we present a novel architecture for template generation in the context of situation awareness system in real and virtual applications. We develop a novel cancelable biometric template generation algorithm utilizing random biometric fusion, random projection and selection. Proposed random cross-folding method generate cancelable biometric template from multiple biometric traits. We further validate the performance of the proposed algorithm using a virtual multimodal face and ear database.

An object surface extraction from a set of point clouds extracted using a Kinect V2 sensor is presented here. First several point clouds are extracted from different angles around the object. Second point clouds are registered with each other using the Iterative Closest Point algorithm. If the angle between two camera positions is large, point clouds are manually rough aligned. Then iterative closest point algorithm provides a finer alignment. Next the object boundary is found enclosing all the points in the aligned and merged point cloud. After that a triangular mesh is created with the boundary points. Finally colors acquired from the original point cloud are applied on the triangular surface generated. For a better visual effect colors of the points are interpolated on the triangular mesh generated.

New types of trees of structure and linked lists with variable order relations (RTR-trees and RTR-lists) are discussed. Using them enables application of the direct kinematic scheme for simulation of 3D-objects with reorderable structure, making the logic of behavior simulation more natural

Visual perception of 3D space is a major source of information for a person. The role of athlete’s visual perception and corresponding psychomotor actions is very important for adequate actions in sport. Taking into account our team specialization (the virtual environment technology), we decided to investigate the impact of visual 3D perception different parameters on sport results of alpine skiing athletes.

Visual perception of 3D space is a major source of information for a person. The role of athlete's visual perception in movement behaviour is very important for adequate action in sport. Given the specialization of our team (virtual environment technology), we decided to investigate the impact of visual 3Dperception different parameters on the results of the virtual alpine skiing.

We have implemented a scheme for elimination of depolarization artefacts in passive stereo-projection systems. These problems appear due to non-perfectness of stereo-projection equipment: depolarization of the light due to reflection from the screen or due to the passage through the screen; non-ideality of polarizing filters; mixing of left- and right-eye images in a change of relative orientation of the filters. These effects lead to strong violations in stereo-perception (known as "ghosts"). They can be eliminated by software methods, using linear filtering of the image before its projection to the screen, based on the formula L' = L -/spl alpha/R, R' = R -/spl alpha/L , where L, R are images, destined for the left and right eye respectively, /spl alpha/ is constant, defining intensity of the ghosts. This receipt, in theory leading to exact compensation of the ghosts, in practice possesses certain limitations, which allow not complete elimination but only strong suppression of the ghosts, at very careful calibration of the system. We have implemented this algorithm in VE system Avango by means of texture mappings. All necessary operations are performed by the graphics board, thus providing the real-time rendering rate. The described method considerably improves stability of stereo-perception, making high-quality performances of virtual environment possible on affordable equipment.