SURF algorithm in FPGA a novel architecture for high demanding industrial applications

Today many industrial applications require object recognition and tracking capabilities. Feature-based algorithms are well-suited for such operations and, among all, Speeded Up Robust Features (SURF) algorithm has been proved to achieve optimal results. However, when high-precision and real time req...

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Veröffentlicht in:Proceedings of the Conference on Design, Automation and Test in Europe S. 161 - 162
Hauptverfasser: Battezzati, N., Colazzo, S., Maffione, M., Senepa, L.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: San Jose, CA, USA EDA Consortium 12.03.2012
Schriftenreihe:ACM Conferences
Schlagworte:
Applied computing > Operations research > Industry and manufacturing > Command and control
Hardware > Robustness
Hardware > Very large scale integration design > Application-specific VLSI designs
ISBN:3981080181, 9783981080186
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:Today many industrial applications require object recognition and tracking capabilities. Feature-based algorithms are well-suited for such operations and, among all, Speeded Up Robust Features (SURF) algorithm has been proved to achieve optimal results. However, when high-precision and real time requirements come together, a dedicated hardware is necessary to meet them. In this paper we present a novel architecture for implementing SURF algorithm in FPGA, along with experimental results for different industrial applications.
ISBN:3981080181
9783981080186
DOI:10.5555/2492708.2492748