Abstract
In the present work, we implement and compare a fast shape recognition algorithm in two FPGA platforms: ZYBO and VIRTEX-5. We successfully implement our algorithm for several image resolutions in both hardware. We have found that VIRTEX-5 provides 14-19% faster processing than ZYBO, making it ideal for real time execution and higher resolution algorithms for computer vision, however, this comes at a cost of 8-10% more power consumption with respect to ZYBO platform. These results show that both platforms are good candidates for implementing this kind of algorithms depending on the focus of the hardware: performance or power saving.
Original language | English |
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Title of host publication | 2019 IEEE 4th Ecuador Technical Chapters Meeting, ETCM 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728137643 |
DOIs | |
State | Published - Nov 2019 |
Event | 4th IEEE Ecuador Technical Chapters Meeting, ETCM 2019 - Guayaquil, Ecuador Duration: 13 Nov 2019 → 15 Nov 2019 |
Publication series
Name | 2019 IEEE 4th Ecuador Technical Chapters Meeting, ETCM 2019 |
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Conference
Conference | 4th IEEE Ecuador Technical Chapters Meeting, ETCM 2019 |
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Country/Territory | Ecuador |
City | Guayaquil |
Period | 13/11/19 → 15/11/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- computer vison
- FPGA
- HDL
- shape recognition