FPGA implementation of HOOFR bucketing extractor-based real-time embedded SLAM applications

Feature extraction is an important vision task in many applications like simultaneous localization and mapping (SLAM). In the recent computing systems, FPGA-based acceleration have presented a strong competition to GPU-based acceleration due to its high computation capabilities and lower energy cons...

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Veröffentlicht in:	Journal of real-time image processing Jg. 18; H. 3; S. 525 - 538
Hauptverfasser:	Nguyen, Dai Duong, El Ouardi, Abdelhafid, Rodriguez, Sergio, Bouaziz, Samir
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2021 Springer Nature B.V Springer Verlag
Schlagworte:	Algorithms Computation Computer Graphics Computer Science Design Designers Eigenvalues Energy consumption Feature extraction Field programmable gate arrays High level synthesis Image Processing and Computer Vision Memory Multimedia Information Systems Neural networks Original Research Paper Pattern Recognition Pixels Robotics Signal,Image and Speech Processing Simultaneous localization and mapping System on chip FPGA implementation Embedded systems Features extraction Parallel image processing
ISSN:	1861-8200, 1861-8219
Online-Zugang:	Volltext
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