Abstract:
In computer vision crass-correlation is a standard approach for local feature matching in feature tracking
applications. For this Normalized cross-correlation (NCC) is implemented on spatial domain, because it does not have
a simple and efficient frequency domain expression. Therefore in applications which demand real-time processing,
a dedicated hardware implementation of NCC is essential to meet the computational cost in spatial domain. In
this paper we present a Field Programmable Gate Array (FPGA) implementation of NCC based on the multi-port
memory controller together with Fast Normalize Cross-correlation. Practical experimentation shows that our system
can achieve frame rates closer to 100 for a search window size of 100x100 and template size of 15x15, with only
using two dual-port memories.
