This article describes eye tracking technology as a prospective application for AR systems, opening opportunities for dynamical focus, attention mapping and the interplay between a user and a device. Described eye tracking system is an integration of a microcontroller and a camera module. The software uses algorithms for detection a pupil, determination of its position and calculation of the gaze vector for each eye. Gaze tracking is a basis for such technologies as dynamical focus and attention maps, which use the sight vectors as initial data. AR system with basic tracking functionality is developed on the base of multifunctional microcontroller Raspberry Pi which makes project available for a wide community of students and developers by minimal cost.
The paper discusses the main stages of creating and implementing a model of a universal, inexpensive measuring system based on the principles of stereo vision. Particularly special attention had been paid to the development, analysis, study of the features and accuracy of measurements of a passive stereo vision system, as a measuring device. In the course of the presented work, the following procedures were performed: calibration of a separate camera, calibration of a stereo camera, straightening and comparison of stereo images. The software part of the work was done in the C ++ programming language in the QtCreator editor using the computer vision library OpenCV 3.2.
Development of a parametric model of an optical system consisting of 2 and 3 reflective surfaces and its analysis are considered in this paper. The construction of a parametric model is necessary to simplify the initial stage of designing optical systems. The basis of the parametric model is built by replacing reflective surfaces on thin components equivalent, in which a three-mirror system can be written using an external virtual axis angles (zero) beam with the optical axis. To solve the problem of minimizing aberrations, the theory of third-order aberrations developed by Professor G.G.Slyusarev is used. As a result of working is a universal equation, describing the entire variety of optical systems of three thin mirror components forming a flat image, the design parameters of which depend on the 3 coefficients that enter the equation. The use of the obtained parametric model of an optical system consisting of 3 reflecting surfaces makes it possible to simplify the stage of the initial synthesis of mirror optical systems and to obtain an initial version of a system free from spherical aberration, coma, astigmatism and curvature of the image.
Features of program realization of algorithms of segmentation when developing the software for detecting and maintenance of objects on the stream video image are considered in this article. The special attention is paid to the choice of the using of algorithm of segmentation and realization of the qualifier which finds required object on the image, on the basis of Haar's cascades. The main algorithms which are basic when developing the software and examples of work of the program are given.
The article deals with the methods of image segmentation based on color space conversion, and allow the most efficient way to carry out the detection of a single color in a complex background and lighting, as well as detection of objects on a homogeneous background. The results of the analysis of segmentation algorithms of this type, the possibility of their implementation for creating software. The implemented algorithm is very time-consuming counting, making it a limited application for the analysis of the video, however, it allows us to solve the problem of analysis of objects in the image if there is no dictionary of images and knowledge bases, as well as the problem of choosing the optimal parameters of the frame quantization for video analysis.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.