OpenCL-based FPGA accelerator for disparity map generation with stereoscopic event cameras

David Castells-Rufas; Jordi Carrabina

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arXiv · 1903.03509

OpenCL-based FPGA accelerator for disparity map generation with stereoscopic event cameras

David Castells-Rufas·Jordi Carrabina

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Abstract

Although event-based cameras are already commercially available. Vision algorithms based on them are still not common. As a consequence, there are few Hardware Accelerators for them. In this work we present some experiments to create FPGA accelerators for a well-known vision algorithm using event-based cameras. We present a stereo matching algorithm to create a stream of disparity events disparity map and implement several accelerators using the Intel FPGA OpenCL tool-chain. The results show that multiple designs can be easily tested and that a performance speedup of more than 8x can be achieved with simple code transformations.

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BibTeX RIS

David Castells-Rufas, Jordi Carrabina. 2019-03-08. OpenCL-based FPGA accelerator for disparity map generation with stereoscopic event cameras. https://arxiv.org/abs/1903.03509

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