| 引用本文: | 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.[点击复制] |
| 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[点击复制] |
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| 一种面向多核处理器的高效并行PCA-SIFT算法 |
| 刘仲, 邢彬朝, 陈跃跃 |
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(国防科技大学 计算机学院，湖南 长沙 410073)
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| 摘要: |
| 提出一种面向多核处理器的并行PCA-SIFT算法，采用数据级并行方法实现并行的特征提取和特征点匹配，将计算任务分配到各个DSP核并行处理，充分开发多核处理器的多级并行性。实验结果表明，并行PCA-SIFT算法对各种不同图像形变的图像具有良好的适应性，具有接近串行PCA-SIFT算法的图像匹配能力，平均加速比达3.12。 |
| 关键词: 并行 PCA SIFT 图像匹配 多核处理器 |
| DOI： |
| 投稿日期：2011-11-16 |
| 基金项目:国家自然科学基金资助项目(60503042) |
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| An efficient parallel PCA-SIFT algorithm for multi-core processor |
| LIU Zhong, XING Binchao, Chen Yueyue |
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(College of Computer, National University of Defense Technology, Changsha 410073, China)
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| 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. |
| Keywords: parallel PCA-SIFT image matching multi-core processor |
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