Gorschlüter, Felix ; Rojtberg, Pavel ; Pöllabauer, Thomas (2022)
A Survey of 6D Object Detection Based on 3D Models for Industrial Applications.
In: Journal of Imaging, 8 (3)
doi: 10.3390/jimaging8030053
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Six-dimensional object detection of rigid objects is a problem especially relevant for quality control and robotic manipulation in industrial contexts. This work is a survey of the state of the art of 6D object detection with these use cases in mind, specifically focusing on algorithms trained only with 3D models or renderings thereof. Our first contribution is a listing of requirements typically encountered in industrial applications. The second contribution is a collection of quantitative evaluation results for several different 6D object detection methods trained with synthetic data and the comparison and analysis thereof. We identify the top methods for individual requirements that industrial applications have for object detectors, but find that a lack of comparable data prevents large-scale comparison over multiple aspects.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Gorschlüter, Felix ; Rojtberg, Pavel ; Pöllabauer, Thomas |
| Art des Eintrags: | Bibliographie |
| Titel: | A Survey of 6D Object Detection Based on 3D Models for Industrial Applications |
| Sprache: | Englisch |
| Publikationsjahr: | 24 Februar 2022 |
| Verlag: | MDPI |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Journal of Imaging |
| Jahrgang/Volume einer Zeitschrift: | 8 |
| (Heft-)Nummer: | 3 |
| DOI: | 10.3390/jimaging8030053 |
| Kurzbeschreibung (Abstract): | Six-dimensional object detection of rigid objects is a problem especially relevant for quality control and robotic manipulation in industrial contexts. This work is a survey of the state of the art of 6D object detection with these use cases in mind, specifically focusing on algorithms trained only with 3D models or renderings thereof. Our first contribution is a listing of requirements typically encountered in industrial applications. The second contribution is a collection of quantitative evaluation results for several different 6D object detection methods trained with synthetic data and the comparison and analysis thereof. We identify the top methods for individual requirements that industrial applications have for object detectors, but find that a lack of comparable data prevents large-scale comparison over multiple aspects. |
| Freie Schlagworte: | Object detection, Machine learning, 3D Computer vision, 3D Object localisation, Camera based systems |
| Zusätzliche Informationen: | Art.No.: 53 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 03 Mär 2022 09:01 |
| Letzte Änderung: | 18 Okt 2023 12:47 |
| PPN: | 492978506 |
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| Suche nach Titel in: | TUfind oder in Google |
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