Object Identification Based on the Automated Extraction of Spatial Semantics from Web3D Scenes-Reference-Cited by-同舟云学术

Object Identification Based on the Automated Extraction of Spatial Semantics from Web3D Scenes

Published:2018-10-01 Issue:4 Volume:2 Page:1-10
ISSN:2516-029X
Container-title:Annals of Emerging Technologies in Computing
language:en
Short-container-title:AETiC

Author:

Kontakis Konstantinos¹,Malamos Athanasios G.¹,Steiakaki Malvina¹,Panagiotakis Spyros¹,Ware J. Andrew²

Affiliation:

1. Technological Educational Institution of Crete, Greece

2. University of South Wales, UK

Abstract

We present a web-based methodology for the extraction of semantic information and object identification in poorly annotated Web3D scenes. Our approach is based on a set of rules that mimic human spatial cognition, backed by an indexing mechanism for the automated spatial correlation between objects in terms of linguistic predicates. The proposed methodology is comprised of real-time techniques with broad application areas, ranging from CAD and 3D room planning tools based on architectural designs, to medical and e-learning environments where their objects’ relative position is closely associated with identification attributes.

Publisher

International Association for Educators and Researchers (IAER)

Subject

Electrical and Electronic Engineering,General Computer Science

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