在利用FPGA的并行处理能力应对高速数据和去做复杂的数据处理时，对一些较为复杂或者重复性工作模块多的情况下，算法资源就需要进行预评估。有效的资源预评估不仅可以在芯片选型上有益，还可以对程序有较详细的估计，在硬件不变的前提下能够选择更好的算法优化。本文着重在Harris算法在FPGA的实现以及在移植之前对其占用的FPGA资源进行预评估。-Response to high-speed data and do complex data processing in the FPGA parallel processing capabilities, to cope with some of the more complex or repetitive tasks module，it is necessary to pre-assessment algorithm resources. Resources pre-assessment can not only be useful in the chip selection, but also be a more detailed estimate of the program to be able to choose a better algorithm optimization in the same premise hardware. This article focuses on the pre-assessment in the Harris algorithm in the FPGA implementation and its FPGA resources occupied prior to transplantation.