Autors: Neshov, N. N., Manolova, A. H.
Title: Objects distance measurement in augmented reality for providing better user experience
Keywords: Deep learning, Head Mounted Display, Camera calibration, augmented and virtual reality

Abstract: In this paper we present an algorithm for providing better user experience in AR applications based on HMD (Head Mounted Display), pair of cameras and Deep Learning semantic segmentation. The user can view the scene, captured by the cameras using HMD along with augmented information regarding distances to all detected objects. The cameras are attached to the HMD and must be located as close as possible each other. Moreover one of the cameras is shifted at a known distance closer to the scene with respect to the other camera. Based on the traditional pinhole camera model and estimating the size of the projection of a given object in pixel coordinate systems in both of the cameras, we are able to calculate the distance from the cameras to the object. For location and calculation of the size of projected objects we used a semantic segmentation based on deep learning algorithm.



    International Scientific Conference on Communications, Information, Electronic and Energy Systems, vol. 1032, pp. 1-7, 2021, Bulgaria, IOP Conference Series: Materials Science and Engineering, DOI 10.1088/1757-899X/1032/1/012020

    Copyright IOP Publishing

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus