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.
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刘仲,邢彬朝,陈跃跃.一种面向多核处理器的高效并行PCA-SIFT算法[J].国防科技大学学报,2012,34(4):103-107. LIU Zhong, XING Binchao, Chen Yueyue. An efficient parallel PCA-SIFT algorithm for multi-core processor[J]. Journal of National University of Defense Technology,2012,34(4):103-107.