A configurable CAD-based object recognition system for varying resolution 3D-sensors

Jari M. Ahola, Tapio Heikkilä, Jukka Koskinen, Tuomas Seppälä, Tarmo Tamminen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    1 Citation (Scopus)

    Abstract

    This paper presents a configurable CAD-based object recognition system for varying resolution 3D sensors such as Time-Of-Flight (ToF) cameras and laser scanners. The object recognition system is used for recognizing and localizing target objects on the basis of the geometric and topological information extracted from STEP-files. The novelty of our system is its configurability, i.e. its ability to adjust the level of detail of the database object models to the properties of the applied sensor system, e.g., resolution, accuracy and signal to noise ratio.

    Original languageEnglish
    Title of host publicationProceedings
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Print)978-1-5090-6190-7, 978-1-5090-6189-1
    DOIs
    Publication statusPublished - 7 Oct 2016
    MoE publication typeA4 Article in a conference publication
    Event12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2016 - Auckland, New Zealand
    Duration: 29 Aug 201631 Aug 2016

    Conference

    Conference12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2016
    Abbreviated titleMESA 2016
    CountryNew Zealand
    CityAuckland
    Period29/08/1631/08/16

    Fingerprint

    Object recognition
    Object Recognition
    Computer aided design
    Sensor
    Sensors
    Signal to noise ratio
    Cameras
    Laser Scanner
    Lasers
    Time-of-flight
    Object Model
    Camera
    Target
    Object-oriented databases

    Keywords

    • CAD models
    • configurable
    • geometric models
    • object recognition

    Cite this

    Ahola, J. M., Heikkilä, T., Koskinen, J., Seppälä, T., & Tamminen, T. (2016). A configurable CAD-based object recognition system for varying resolution 3D-sensors. In Proceedings [7587121] IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/MESA.2016.7587121
    Ahola, Jari M. ; Heikkilä, Tapio ; Koskinen, Jukka ; Seppälä, Tuomas ; Tamminen, Tarmo. / A configurable CAD-based object recognition system for varying resolution 3D-sensors. Proceedings. IEEE Institute of Electrical and Electronic Engineers , 2016.
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    abstract = "This paper presents a configurable CAD-based object recognition system for varying resolution 3D sensors such as Time-Of-Flight (ToF) cameras and laser scanners. The object recognition system is used for recognizing and localizing target objects on the basis of the geometric and topological information extracted from STEP-files. The novelty of our system is its configurability, i.e. its ability to adjust the level of detail of the database object models to the properties of the applied sensor system, e.g., resolution, accuracy and signal to noise ratio.",
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    Ahola, JM, Heikkilä, T, Koskinen, J, Seppälä, T & Tamminen, T 2016, A configurable CAD-based object recognition system for varying resolution 3D-sensors. in Proceedings., 7587121, IEEE Institute of Electrical and Electronic Engineers , 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2016, Auckland, New Zealand, 29/08/16. https://doi.org/10.1109/MESA.2016.7587121

    A configurable CAD-based object recognition system for varying resolution 3D-sensors. / Ahola, Jari M.; Heikkilä, Tapio; Koskinen, Jukka; Seppälä, Tuomas; Tamminen, Tarmo.

    Proceedings. IEEE Institute of Electrical and Electronic Engineers , 2016. 7587121.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    Ahola JM, Heikkilä T, Koskinen J, Seppälä T, Tamminen T. A configurable CAD-based object recognition system for varying resolution 3D-sensors. In Proceedings. IEEE Institute of Electrical and Electronic Engineers . 2016. 7587121 https://doi.org/10.1109/MESA.2016.7587121