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

Konstantinos Kontakis, Athanasios Malamos, Malvina Steiakaki, Spyros Panagiotakis, Jonathan Ware

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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.
Original languageEnglish
Number of pages10
JournalAnnals of Emerging Technologies in Computing
Volume2
Issue number4
Publication statusPublished - 1 Oct 2018

Keywords

  • Spatial semantics
  • object identification
  • 3D model indexing
  • Web3D

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