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.
|Title of host publication||2019 IEEE 4th Ecuador Technical Chapters Meeting, ETCM 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - Nov 2019|
|Event||4th IEEE Ecuador Technical Chapters Meeting, ETCM 2019 - Guayaquil, Ecuador|
Duration: 13 Nov 2019 → 15 Nov 2019
|Name||2019 IEEE 4th Ecuador Technical Chapters Meeting, ETCM 2019|
|Conference||4th IEEE Ecuador Technical Chapters Meeting, ETCM 2019|
|Period||13/11/19 → 15/11/19|
Bibliographical notePublisher Copyright:
© 2019 IEEE.
- computer vison
- shape recognition