| Publikationstyp: | Konferenz: Poster |
| Art der Begutachtung: | Keine Angabe |
| Titel: | Deep learning on a Raspberry Pi for real time face recognition |
| Autor/-in: | Dürr, Oliver Pauchard, Yves Browarnik, Diego Hernan Axthelm, Rebekka Loeser, Martin |
| DOI: | 10.2312/egp.20151036 |
| Tagungsband: | EG 2015 - Posters |
| Seite(n): | 11 |
| Seiten bis: | 12 |
| Angaben zur Konferenz: | Eurographics Conference (EG 2015), Zurich, 4-8 May 2015 |
| Erscheinungsdatum: | 2015 |
| Verlag / Hrsg. Institution: | The Eurographics Association |
| Sprache: | Englisch |
| Schlagwörter: | Face recognition; Raspberry Pi; Deep learning |
| Fachgebiet (DDC): | 006: Spezielle Computerverfahren |
| Zusammenfassung: | In this paper we describe a fast and accurate pipeline for real-time face recognition that is based on a convolutional neural network (CNN) and requires only moderate computational resources. After training the CNN on a desktop PC we employed a Raspberry Pi, model B, for the classification procedure. Here, we reached a performance of approximately 2 frames per second and more than 97% recognition accuracy. The proposed approach outperforms all of OpenCV's algorithms with respect to both accuracy and speed and shows the applicability of recent deep learning techniques to hardware with limited computational performance. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/13891 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Angewandte Informationstechnologie (InIT) Institut für Datenanalyse und Prozessdesign (IDP) Institute of Signal Processing and Wireless Communications (ISC) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
Es gibt keine Dateien zu dieser Ressource.
Zur Langanzeige
Dürr, O., Pauchard, Y., Browarnik, D. H., Axthelm, R., & Loeser, M. (2015). Deep learning on a Raspberry Pi for real time face recognition [Conference poster]. EG 2015 - Posters, 11–12. https://doi.org/10.2312/egp.20151036
Dürr, O. et al. (2015) ‘Deep learning on a Raspberry Pi for real time face recognition’, in EG 2015 - Posters. The Eurographics Association, pp. 11–12. Available at: https://doi.org/10.2312/egp.20151036.
O. Dürr, Y. Pauchard, D. H. Browarnik, R. Axthelm, and M. Loeser, “Deep learning on a Raspberry Pi for real time face recognition,” in EG 2015 - Posters, 2015, pp. 11–12. doi: 10.2312/egp.20151036.
DÜRR, Oliver, Yves PAUCHARD, Diego Hernan BROWARNIK, Rebekka AXTHELM und Martin LOESER, 2015. Deep learning on a Raspberry Pi for real time face recognition. In: EG 2015 - Posters. Conference poster. The Eurographics Association. 2015. S. 11–12
Dürr, Oliver, Yves Pauchard, Diego Hernan Browarnik, Rebekka Axthelm, and Martin Loeser. 2015. “Deep Learning on a Raspberry Pi for Real Time Face Recognition.” Conference poster. In EG 2015 - Posters, 11–12. The Eurographics Association. https://doi.org/10.2312/egp.20151036.
Dürr, Oliver, et al. “Deep Learning on a Raspberry Pi for Real Time Face Recognition.” EG 2015 - Posters, The Eurographics Association, 2015, pp. 11–12, https://doi.org/10.2312/egp.20151036.
Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt, soweit nicht anderweitig angezeigt.