
3D Object Detection and Scene Optimization for Tangible Augmented Reality
Author(s) -
Márton Szemenyei,
Ferenc Vajda
Publication year - 2018
Publication title -
periodica polytechnica. electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.158
H-Index - 13
eISSN - 2064-5279
pISSN - 2064-5260
DOI - 10.3311/ppee.10482
Subject(s) - computer science , augmented reality , embedding , artificial intelligence , computer vision , scene graph , virtual reality , object (grammar) , graph , scheme (mathematics) , virtual image , human–computer interaction , robotics , computer graphics (images) , robot , theoretical computer science , mathematics , rendering (computer graphics) , mathematical analysis
Object recognition in 3D scenes is one of the fundamental tasks in computer vision. It is used frequently in robotics or augmented reality applications [1]. In our work we intend to apply 3D shape recognition to create a Tangible Augmented Reality system that is able to pair virtual and real objects in natural indoors scenes. In this paper we present a method for arranging virtual objects in a real-world scene based on primitive shape graphs. For our scheme, we propose a graph node embedding algorithm for graphs with vectorial nodes and edges, and genetic operators designed to improve the quality of the global setup of virtual objects. We show that our methods improve the quality of the arrangement significantly.