Abstract:An efficient parallel PCA-SIFT algorithm for multi-core processor is proposed, which adopts data-level parallel method to implement parallel key points extraction and matching. The computing tasks were assigned to four DSP cores for parallel processing, which fully develops multi-level parallelism of multi-core processor. The experimental results show that the parallel PCA-SIFT algorithm has good adaptability for various distortion images and the image matching ability is close to the sequential algorithm with the average speedup 3.12.