Scale-invariant feature transform (SIFT) algorithm is one of the most dynamic algorithms which applied in image matching field.However

the computation complexity of descriptors is especially high.According to existing design method

the throughput rate of the whole module is only 50%.To conquer this bottleneck

we present a new sample method of descriptors in SIFT.The hardware cost of the structure is both small and worthwhile

since the sampling rate of the effective pixels is increased significantly.With 1.16% extra hardware cost

the average throughput reaches 77%.Compared with traditional method

the throughput improved 54%.