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An Augmented Reality Facet Mapping Technique for Ray Tracing Applications

Authors:
Varun Kumar Siddaraju
George Koutitas

Keywords: Augmented Reality, Ray Tracing, Spatial Mapping, Facet model, Indoor networks, Channel prediction.

Abstract:
This paper presents a novel spatial mapping technique An Augmented Reality Facet Mapping Technique for Ray Tracing Applications that is capable of extracting the vector map of an indoor environment based on images captured from a smart phone camera. The extracted vector map follows the facet model concept and can be used as input in ray tracing algorithms for indoor wireless channel predictions. The algorithm computes the coordinates of the walls and doors of each room of the indoor environment and creates the facet model of the entire 3D space by applying edge and corner detection on the wall images of each room. The output of the algorithm is a facet model that can be used by ray tracing algorithms which are embedded in Augmented Reality (AR) applications. The overall process provides a better human-to-network interface and an improved user experience that is expected to provide a new way for indoor network planning of residential 5G systems.

Pages: 6 to 12

Copyright: Copyright (c) IARIA, 2018

Publication date: April 22, 2018

Published in: conference

ISSN: 2308-3964

ISBN: 978-1-61208-623-1

Location: Athens, Greece

Dates: from April 22, 2018 to April 26, 2018