Integral-image based implementation of U-SURF algorithm for embedded super parallel processor
Integral-image based implementation of U-SURF algorithm for embedded super parallel processor
复制标题
基于积分图像的嵌入式超级并行处理器U-SURF算法的实现
DOI：
10.1109/ispacs.2009.5383795
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
T. Nagasaki
中科院分区：
文献类型：
--
作者：
Yoshinori Sato;T. Sugimura;H. Noda;Y. Okuno;K. Arimoto;T. Nagasaki
近年来，鲁棒且尺度不变的特征提取算法（例如 SIFT、SURF 和 U-SURF）经常用于图像识别。虽然 U-SURF[1] 算法在提取兴趣点及其特征方面具有鲁棒性和可扩展性，但它需要在图像中分散的许多区域中进行处理。当使用嵌入式并行处理器时，该算法很难提高并行度。
In recent year, robust and scale invariant feature extraction algorithms such as SIFT, SURF, and U-SURF are frequently utilized for image recognition. While U-SURF[1] algorithm is robust and scalable to extract interest points and their features, it requires processes in many regions that are scattered in an image. It is difficult for the algorithm to increase parallelism when an embedded parallel processor is used.