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GEODIM: A Semantic Model-Based System for 3D Recognition of Industrial Scenes

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Current Trends on Knowledge-Based Systems

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 120))

Abstract

Keeping an inventory of the facilities within a factory implies high costs in terms of time, effort, and knowledge, since it demands the detailed, orderly, and valued description of the items within the plant. One way to accomplish this task within scanned industrial scenes is through the combination of an object recognition algorithm with semantic technology. This research therefore introduces GEODIM, a semantic model-based system for recognition of 3D scenes of indoor spaces in factories. The system relies on the two aforementioned technologies to describe industrial digital scenes with logical, physical, and semantic information. GEODIM extends the functionality of traditional object recognition algorithms by incorporating semantics in order to identify and characterize recognized geometric primitives along with rules for the composition of real objects. This research also describes a real case where GEODIM processes were applied and presents its qualitative evaluation.

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Acknowledgements

This work was supported by the National Council of Science and Technology of Mexico (CONACYT) and the Public Education Secretary (SEP).

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Authors and Affiliations

  1. Computer Science Department, Universidad Carlos III de Madrid, Av. Universidad 30, 28911, Leganés, Madrid, Spain

    Yuliana Perez-Gallardo, Jose Luis López Cuadrado, Ángel García Crespo & Cynthya García de Jesús

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  1. Yuliana Perez-Gallardo
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  2. Jose Luis López Cuadrado
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  3. Ángel García Crespo
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  4. Cynthya García de Jesús
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Correspondence to Yuliana Perez-Gallardo .

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Editors and Affiliations

  1. 852 Col. Emiliano Zapata, Instituto Tecnologico de Orizaba 852 Col. Emiliano Zapata, Orizaba, Veracruz, Mexico

    Giner Alor-Hernández

  2. Campus de Espinardo s/n., Facultad de Informática Campus de Espinardo s/n., Murcia, Spain

    Rafael Valencia-García

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Perez-Gallardo, Y., Cuadrado, J.L.L., Crespo, Á.G., de Jesús, C.G. (2017). GEODIM: A Semantic Model-Based System for 3D Recognition of Industrial Scenes. In: Alor-Hernández, G., Valencia-García, R. (eds) Current Trends on Knowledge-Based Systems. Intelligent Systems Reference Library, vol 120. Springer, Cham. https://doi.org/10.1007/978-3-319-51905-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-51905-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51904-3

  • Online ISBN: 978-3-319-51905-0

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