A 181 GOPS AKAZE Accelerator Employing Discrete-Time Cellular Neural Networks for Real-Time Feature Extraction

This paper proposes a real-time feature extraction VLSI architecture for high-resolution images based on the accelerated KAZE algorithm. Firstly, a new system architecture is proposed. It increases the system throughput, provides flexibility in image resolution, and offers trade-offs between speed a...

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Detalles Bibliográficos
Autores principales: Jiang, Guangli, Liu, Leibo, Zhu, Wenping, Yin, Shouyi, Wei, Shaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610552/
https://www.ncbi.nlm.nih.gov/pubmed/26404305
http://dx.doi.org/10.3390/s150922509

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610552/
https://www.ncbi.nlm.nih.gov/pubmed/26404305
http://dx.doi.org/10.3390/s150922509

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